Reliability Engineering, Reliability Theory and Reliability Data Analysis and Modeling Resources for Reliability Engineers

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DOWNLOAD FREE PROBABILITY PLOTTING PAPERS TO CREATE YOUR2, 3, 4, 5, 67, 8, 910, 11,12, 1314, 15, 1617, 1819, 20 Probability Plotting Papers. This page provides free probability plotting papers for you to download in *.pdf format.The papers were created by ReliaSoft with the Weibull++ software.In addition, this page provides access to the rank tables required for probability

plotting.

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ESTIMATING MEAN TIME BETWEEN MAINTENANCE (MTBM) USING …SEE MORE ON

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TOOL TIPS: CUMULATIVE AND INSTANTANEOU MTBF, LIFE DATA Issue 46, December 2004. Tool Tips: What is the difference between cumulative and instantaneous MTBF? The cumulative MTBF is the average time-between-failure from the beginning of the test (i.e. t=0) up to time t.The instantaneous MTBF is the average time-between-failure in a

given interval, dt.

CRITICALITY ANALYSIS, RPN SYSTEM, DESIGN FOR RELIABILITY Reliability Glossary FMEA and RCM Terms. Analysis plan A plan used to keep track of team members, ground rules and assumptions, estimated completion dates, scheduled work sessions and other details to help an analyst plan and manage analysis projects. CONDITIONAL RELIABILITY FOR A SYSTEMSEE MORE ON WEIBULL.COM FMEA CORNER: SOFTWARE FMEA A P-Diagram is an optional step when preparing for a System or Subsystem FMEA. It is most useful when the item under analysis is a complex system with many system interactions, operating conditions and design parameters, and the team will benefit from seeing these

elements visually.

TOOL TIPS: WEIBULL++'S MONTE CARLO SIMULATION UTILITY Issue 101, July 2009. Tool Tips: How can I use the Monte Carlo Simulation utility in Weibull++ for risk analysis, probabilistic design and quality control? FMEA CORNER: PARAMETER DIAGRAMS (P-DIAGRAMS)SEE MORE ON WEIBULL.COM DOWNLOAD FREE PROBABILITY PLOTTING PAPERS TO CREATE YOUR2, 3, 4, 5, 67, 8, 910, 11,12, 1314, 15, 1617, 1819, 20 Probability Plotting Papers. This page provides free probability plotting papers for you to download in *.pdf format.The papers were created by ReliaSoft with the Weibull++ software.In addition, this page provides access to the rank tables required for probability

plotting.

WEIBULL.COM

ESTIMATING MEAN TIME BETWEEN MAINTENANCE (MTBM) USING …SEE MORE ON

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given interval, dt.

elements visually.

TOOL TIPS: WEIBULL++'S MONTE CARLO SIMULATION UTILITY Issue 101, July 2009. Tool Tips: How can I use the Monte Carlo Simulation utility in Weibull++ for risk analysis, probabilistic design and quality control? FMEA CORNER: PARAMETER DIAGRAMS (P-DIAGRAMS)SEE MORE ON WEIBULL.COM DOWNLOAD FREE PROBABILITY PLOTTING PAPERS TO CREATE YOUR Probability Plotting Papers. This page provides free probability plotting papers for you to download in *.pdf format.The papers were created by ReliaSoft with the Weibull++ software.In addition, this page provides access to the rank tables required for probability

plotting.

HOW GOOD IS YOUR ASSUMED DISTRIBUTION'S FIT? The above figure shows that the value of P(D CRIT < D max) for the Weibull distribution is smaller than that for the exponential distribution (i.e. the Weibull distribution is statistically a better fit).. Note: The Modified KS test can be used for small sample sizes. The Modified KS test result can be obtained in Weibull++ by selecting Goodness of Fit Results from the Data menu. TAGUCHI ORTHOGONAL ARRAY DESIGNS Taguchi Orthogonal Array (OA) design is a type of general fractional factorial design. It is a highly fractional orthogonal design that is based on a design matrix proposed by Dr. Genichi Taguchi and allows you to consider a selected subset of combinations of multiple factors at multiple levels. Orthogonal arrays are balanced to ensure that all levels of all factors are considered equally. FMEA CORNER: SOFTWARE FMEA A P-Diagram is an optional step when preparing for a System or Subsystem FMEA. It is most useful when the item under analysis is a complex system with many system interactions, operating conditions and design parameters, and the team will benefit from seeing these

elements visually.

TOOL TIPS: WEIBULL++'S MONTE CARLO SIMULATION UTILITY Issue 101, July 2009. Tool Tips: How can I use the Monte Carlo Simulation utility in Weibull++ for risk analysis, probabilistic design and quality control? INTRODUCTION TO THE CROW-AMSAA RELIABILITY GROWTH MODEL Issue 49, March 2005. Reliability Basics: Introduction to the Crow-AMSAA Reliability Growth Model. In "Reliability Analysis for Complex, Repairable Systems" (1974), Dr. Larry H. Crow noted that the Duane model could be stochastically represented as a Weibull process, allowing for statistical procedures to be used in the application of this model in reliability growth. FMEA CORNER: INTERFACE MATRIX What is an FMEA Interface Matrix? According to the book Effective FMEAs, "FMEA Interface Matrix is a chart with the subsystems and/or components (depending on the scope of the FMEA) on both the vertical and horizontal axes.The chart shows which interfaces must be

considered in

TOOL TIPS: MULTIPLE FAILURE MODES IN WEIBULL++, KEEPING Issue 81, November 2007. Tool Tips: How can you analyze data sets with more than one failure mode in Weibull++? Weibull++ offers two options

for analysis when

2015 RELIABILITY AND MAINTAINABILITY SYMPOSIUM Athanasios Gerokostopoulos is a Reliability Engineer at ReliaSoft Corporation. He is involved in the development of ReliaSoft’s software products and the delivery of training seminars and consulting projects in the field of Reliability and Quality PRACTICE AUDITING AN ACTUAL FMEA Issue 138, August 2012. Hot Topics: Practice Auditing an Actual FMEA. In last month's HotWire article, we discussed the objectives and quality characteristics of effective FMEAs, and the procedure to audit FMEAs using the quality objectives. In this article, an actual FMEA

will

plotting.

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given interval, dt.

FMEA CORNER: PARAMETER DIAGRAMS (P-DIAGRAMS)SEE MORE ON WEIBULL.COM ESTIMATING MEAN TIME BETWEEN MAINTENANCE (MTBM) USING …SEE MORE ON

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INTRODUCTION TO RISK BASED INSPECTION (RBI)SEE MORE ON WEIBULL.COM CONDITIONAL RELIABILITY FOR A SYSTEM HOW GOOD IS YOUR ASSUMED DISTRIBUTION'S FIT? The range of is -1 ≤ ≤ 1. The closer the value of is to 1 or -1 (or the closer the absolute value is to 1), the better the linear fit. Note that +1 indicates a perfect fit ( i.e. the paired values ( xi, yi) lie on a straight line) with a positive slope, while -1 indicates a perfect fit with a negative slope. USING ALTA WITH MULTI-STRESS PHYSICS OF FAILURE MODELS In the Reliability Prediction Methods for Electronic Products article in Volume 9, Issue 1 of the Reliability Edge newsletter, several physics of failure models for electronic components were presented. An example of data analysis using ALTA was shown using an Arrhenius model. However, many physics of failure models are formulated such that they cannot be used with the one- and two-stress DOWNLOAD FREE PROBABILITY PLOTTING PAPERS TO CREATE YOUR2, 3, 4, 5, 67, 8, 910, 11,12, 1314, 15, 1617, 1819, 20 Probability Plotting Papers. This page provides free probability plotting papers for you to download in *.pdf format.The papers were created by ReliaSoft with the Weibull++ software.In addition, this page provides access to the rank tables required for probability

plotting.

WEIBULL.COM

given interval, dt.

FMEA CORNER: PARAMETER DIAGRAMS (P-DIAGRAMS)SEE MORE ON WEIBULL.COM ESTIMATING MEAN TIME BETWEEN MAINTENANCE (MTBM) USING …SEE MORE ON

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INTRODUCTION TO RISK BASED INSPECTION (RBI)SEE MORE ON WEIBULL.COM CONDITIONAL RELIABILITY FOR A SYSTEM HOW GOOD IS YOUR ASSUMED DISTRIBUTION'S FIT? The range of is -1 ≤ ≤ 1. The closer the value of is to 1 or -1 (or the closer the absolute value is to 1), the better the linear fit. Note that +1 indicates a perfect fit ( i.e. the paired values ( xi, yi) lie on a straight line) with a positive slope, while -1 indicates a perfect fit with a negative slope. USING ALTA WITH MULTI-STRESS PHYSICS OF FAILURE MODELS In the Reliability Prediction Methods for Electronic Products article in Volume 9, Issue 1 of the Reliability Edge newsletter, several physics of failure models for electronic components were presented. An example of data analysis using ALTA was shown using an Arrhenius model. However, many physics of failure models are formulated such that they cannot be used with the one- and two-stress DOWNLOAD FREE PROBABILITY PLOTTING PAPERS TO CREATE YOUR Probability Plotting Papers. This page provides free probability plotting papers for you to download in *.pdf format.The papers were created by ReliaSoft with the Weibull++ software.In addition, this page provides access to the rank tables required for probability

plotting.

TOOL TIPS: WEIBULL++'S MONTE CARLO SIMULATION UTILITY The Monte Carlo simulation tool in Weibull++ is a flexible utility that you can use to automatically generate a data set for a specified distribution and parameters. You can also use this tool for relationship-based simulations that are useful for risk analysis, probabilistic design and quality control. Specifically, the Monte

Carlo utility’s

INTRODUCTION TO RISK BASED INSPECTION (RBI) Risk based inspection (RBI) is a method in which assets are identified for inspection based on their associated risks as opposed to a predetermined fixed time interval. In other words, it is a prioritizing and planning tool, predominantly used in the oil and gas industries, which aids in the identification of high priority items (i.e., those with high risk) vs. low priority items (i.e., those HOW GOOD IS YOUR ASSUMED DISTRIBUTION'S FIT? The range of is -1 ≤ ≤ 1. The closer the value of is to 1 or -1 (or the closer the absolute value is to 1), the better the linear fit. Note that +1 indicates a perfect fit ( i.e. the paired values ( xi, yi) lie on a straight line) with a positive slope, while -1 indicates a perfect fit with a negative slope. TOOL TIPS: MULTIPLE FAILURE MODES IN WEIBULL++, KEEPING Select a Weibull, exponential, normal or lognormal distribution with the CFM option under Parameters/Type. When you click Calculate, the Competing Failure Modes Select Subsets window will appear, as shown next. This window allows you to specify which subset ID (s) represent which failure modes. In the analysis, each failure mode is analyzed MEDIAN RANKS CALCULATION FOR FRACTIONAL FAILURES In the September 2015 issue of Reliability HotWire, we discussed fractional failure analysis and provided an example on how to perform the analysis in Weibull++.The analysis takes into account the effectiveness of an assumed corrective action or product redesign. If the corrective action or the improvement in the redesign is not 100% effective on the failure mode being analyzed, a certain TAGUCHI ORTHOGONAL ARRAY DESIGNS Taguchi Orthogonal Array (OA) design is a type of general fractional factorial design. It is a highly fractional orthogonal design that is based on a design matrix proposed by Dr. Genichi Taguchi and allows you to consider a selected subset of combinations of multiple factors at multiple levels. Orthogonal arrays are balanced to ensure that all levels of all factors are considered equally. INTRODUCTION TO THE CROW-AMSAA RELIABILITY GROWTH MODEL Issue 49, March 2005. Reliability Basics: Introduction to the Crow-AMSAA Reliability Growth Model. In "Reliability Analysis for Complex, Repairable Systems" (1974), Dr. Larry H. Crow noted that the Duane model could be stochastically represented as a Weibull process, allowing for statistical procedures to be used in the application of this model in reliability growth. USING ALTA WITH MULTI-STRESS PHYSICS OF FAILURE MODELS In the Reliability Prediction Methods for Electronic Products article in Volume 9, Issue 1 of the Reliability Edge newsletter, several physics of failure models for electronic components were presented. An example of data analysis using ALTA was shown using an Arrhenius model. However, many physics of failure models are formulated such that they cannot be used with the one- and two-stress PRACTICE AUDITING AN ACTUAL FMEA Issue 138, August 2012. Hot Topics: Practice Auditing an Actual FMEA. In last month's HotWire article, we discussed the objectives and quality characteristics of effective FMEAs, and the procedure to audit FMEAs using the quality objectives. In this article, an actual FMEA

will

RELIABILITY LIFE DATA ANALYSIS (WEIBULL ANALYSISSEE MORE ON

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plotting.

HOW GOOD IS YOUR ASSUMED DISTRIBUTION'S FIT? The range of is -1 ≤ ≤ 1. The closer the value of is to 1 or -1 (or the closer the absolute value is to 1), the better the linear fit. Note that +1 indicates a perfect fit ( i.e. the paired values ( xi, yi) lie on a straight line) with a positive slope, while -1 indicates a perfect fit with a negative slope. INTRODUCTION TO RISK BASED INSPECTION (RBI)SEE MORE ON WEIBULL.COM CRITICALITY ANALYSIS, RPN SYSTEM, DESIGN FOR RELIABILITY A preliminary analysis that often involves answering questions and/or assigning ratings about possible risks. It is used to help the analyst choose which items should receive more detailed consideration via a failure mode and effects analysis (FMEA) or reliability centered maintenance (RCM) analysis. Risk priority number (RPN) system. FMEA CORNER: PARAMETER DIAGRAMS (P-DIAGRAMS)SEE MORE ON WEIBULL.COM USING THE CUMULATIVE BINOMIAL EQUATION FOR RELIABILITYSEE MORE ON

WEIBULL.COM

MEDIAN RANKS CALCULATION FOR FRACTIONAL FAILURESSEE MORE ON

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given interval, dt.

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plotting.

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MEDIAN RANKS CALCULATION FOR FRACTIONAL FAILURESSEE MORE ON

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given interval, dt.

ESTIMATING THE EXPECTED NUMBER OF FAILURES FOR ITEMS WITH The area under the failure rate curve constructed from the first times-to-failure of a set of components is often used as an estimate of the number of spare parts needed during a mission. This method of estimating spares is applicable only under certain conditions. The primary assumptions of the method are that minimal repair is performed on the components in the population and that the size RELIABILITY LIFE DATA ANALYSIS (WEIBULL ANALYSIS Life Data Analysis (Weibull Analysis) An Overview of Basic Concepts . In life data analysis (also called "Weibull analysis"), the practitioner attempts to make predictions about the life of all products in the population by fitting a statistical distribution to life data from a representative sample of units. MILITARY HANDBOOKS (MIL-HDBK), STANDARDS (MIL-STD) AND Reliability Modeling and Prediction - Revision B. (85 pages, 2.91 MB) MIL-STD-756B (2): Notice 2 (1 pages, 3 KB) MIL-HDBK-781A. Handbook for Reliability Test Methods, Plans, and Environments for Engineering, Development, Qualification, and Production - INTRODUCTION TO THE CROW-AMSAA RELIABILITY GROWTH MODEL The Crow-AMSAA model is designed for tracking the reliability within a test phase and not across test phases. The Crow-AMSAA model is based on the empirical relationship developed by J. T. Duane. It is equivalent to a non-homogeneous Poisson process (N.H.P.P.) model with a Weibull intensity function. BASIC STEPS OF APPLYING RELIABILITY CENTERED MAINTENANCE Issue 76, June 2007. Reliability Basics: Basic Steps of Applying Reliability Centered Maintenance (RCM) Part III. This article continues the discussion of the basic steps of applying RCM that began in Issue 72.. Although there is a great deal of variation in the application of Reliability Centered Maintenance (RCM), most procedures include some or all of the seven steps shown below: TOOL TIPS: CUMULATIVE AND INSTANTANEOU MTBF, LIFE DATA Issue 46, December 2004. Tool Tips: What is the difference between cumulative and instantaneous MTBF? The cumulative MTBF is the average time-between-failure from the beginning of the test (i.e. t=0) up to time t.The instantaneous MTBF is the average time-between-failure in a

given interval, dt.

FMEA CORNER: INTERFACE MATRIX The Interface Matrix may identify interfaces that were missed in the FMEA Block Diagram, in which case the block diagram can be updated. Interfaces from the Interface Matrix can be input to function descriptions in the FMEA. In this example, there is a physical interface between the brake pad (1.9.3) and the brake caliper (1.9.4). ESTIMATING THE EXPECTED NUMBER OF FAILURES FOR ITEMS WITH The area under the failure rate curve constructed from the first times-to-failure of a set of components is often used as an estimate of the number of spare parts needed during a mission. This method of estimating spares is applicable only under certain conditions. The primary assumptions of the method are that minimal repair is performed on the components in the population and that the size YOU HAVE A SMALL DATA SET: WHAT DO YOU DO? Engineers are no strangers to the pressures of making decisions based on little information and in compressed time frames-- for many engineers, it is almost the norm. The high cost of reliability testing and the need to get to market before competitors often leave data analysts and engineers with less than satisfactory data. Many data sets comprise no failures at all, only a few failures or a ESTIMATING MEAN TIME BETWEEN MAINTENANCE (MTBM) USING … Maintenance includes all activities necessary to maintain the system in good condition. The Mean Time Between Maintenance (MTBM) estimate is necessary for designing a planned general scheme for maintenance and support of systems/subsystems in the operational environment. In this article, we perform a simple example using BlockSim 8 to show how a maintenance action that brings a CONDITIONAL RELIABILITY FOR A SYSTEM Engineers are often asked to estimate the reliability of not just new systems, but also of systems that have already spent some time in the field. If one wants to do this estimation using a bottom-up approach with the help of a reliability block diagram in BlockSim (i.e., estimating system reliability using component-level information of the system), then care must be taken as to how that DOWNLOAD FREE PROBABILITY PLOTTING PAPERS TO CREATE YOUR2, 3, 4, 5, 67, 8, 910, 11,12, 1314, 15, 1617, 1819, 20 Probability Plotting Papers. This page provides free probability plotting papers for you to download in *.pdf format.The papers were created by ReliaSoft with the Weibull++ software.In addition, this page provides access to the rank tables required for probability

plotting.

CRITICALITY ANALYSIS, RPN SYSTEM, DESIGN FOR RELIABILITY A preliminary analysis that often involves answering questions and/or assigning ratings about possible risks. It is used to help the analyst choose which items should receive more detailed consideration via a failure mode and effects analysis (FMEA) or reliability centered maintenance (RCM) analysis. Risk priority number (RPN) system. HOW GOOD IS YOUR ASSUMED DISTRIBUTION'S FIT? The range of is -1 ≤ ≤ 1. The closer the value of is to 1 or -1 (or the closer the absolute value is to 1), the better the linear fit. Note that +1 indicates a perfect fit ( i.e. the paired values ( xi, yi) lie on a straight line) with a positive slope, while -1 indicates a perfect fit with a negative slope. USING THE CUMULATIVE BINOMIAL EQUATION FOR RELIABILITYSEE MORE ON

WEIBULL.COM

FMEA CORNER: PARAMETER DIAGRAMS (P-DIAGRAMS)SEE MORE ON WEIBULL.COM INTRODUCTION TO RISK BASED INSPECTION (RBI)SEE MORE ON WEIBULL.COM TOOL TIPS: CUMULATIVE AND INSTANTANEOU MTBF, LIFE DATA Issue 46, December 2004. Tool Tips: What is the difference between cumulative and instantaneous MTBF? The cumulative MTBF is the average time-between-failure from the beginning of the test (i.e. t=0) up to time t.The instantaneous MTBF is the average time-between-failure in a

given interval, dt.

will

CONDITIONAL RELIABILITY FOR A SYSTEM DOWNLOAD FREE PROBABILITY PLOTTING PAPERS TO CREATE YOUR2, 3, 4, 5, 67, 8, 910, 11,12, 1314, 15, 1617, 1819, 20 Probability Plotting Papers. This page provides free probability plotting papers for you to download in *.pdf format.The papers were created by ReliaSoft with the Weibull++ software.In addition, this page provides access to the rank tables required for probability

plotting.

WEIBULL.COM

given interval, dt.

MULTIPLE PLOTS IN WEIBULL++ AND OTHER TOOL TIPS FROM Issue 4, June 2001: Tool Tips: What do the parameters B and C represent in ALTA? The parameters B and C are used by ALTA for the Arrhenius and temperature-non-thermal life-stress relationships. The application returns values for these variables along with the shape parameter for the selected distribution (beta for Weibull or standard deviation for lognormal). WEIBULL MODEL PARAMETERS: EFFECT OF THE PARAMETERS ON THE Life Data Analysis (Weibull Analysis) Visual Demonstration of the Effect of Parameters on the Distribution . As a supplement to the Life Data Analysis Basics quick subject guide, these three plots demonstrate the effect of the shape, scale and location parameters on the Weibull distribution probability density function (pdf).. Other life distributions have one or more parameters that affect TOOL TIPS: WEIBULL++'S MONTE CARLO SIMULATION UTILITY The Monte Carlo simulation tool in Weibull++ is a flexible utility that you can use to automatically generate a data set for a specified distribution and parameters. You can also use this tool for relationship-based simulations that are useful for risk analysis, probabilistic design and quality control. Specifically, the Monte

Carlo utility’s

INTRODUCTION TO RISK BASED INSPECTION (RBI) Risk based inspection (RBI) is a method in which assets are identified for inspection based on their associated risks as opposed to a predetermined fixed time interval. In other words, it is a prioritizing and planning tool, predominantly used in the oil and gas industries, which aids in the identification of high priority items (i.e., those with high risk) vs. low priority items (i.e., those HOW GOOD IS YOUR ASSUMED DISTRIBUTION'S FIT? The range of is -1 ≤ ≤ 1. The closer the value of is to 1 or -1 (or the closer the absolute value is to 1), the better the linear fit. Note that +1 indicates a perfect fit ( i.e. the paired values ( xi, yi) lie on a straight line) with a positive slope, while -1 indicates a perfect fit with a negative slope. MULTIPLE PLOTS IN WEIBULL++ AND OTHER TOOL TIPS FROM Issue 4, June 2001: Tool Tips: What do the parameters B and C represent in ALTA? The parameters B and C are used by ALTA for the Arrhenius and temperature-non-thermal life-stress relationships. The application returns values for these variables along with the shape parameter for the selected distribution (beta for Weibull or standard deviation for lognormal). MEDIAN RANKS CALCULATION FOR FRACTIONAL FAILURES In the September 2015 issue of Reliability HotWire, we discussed fractional failure analysis and provided an example on how to perform the analysis in Weibull++.The analysis takes into account the effectiveness of an assumed corrective action or product redesign. If the corrective action or the improvement in the redesign is not 100% effective on the failure mode being analyzed, a certain USING ALTA WITH MULTI-STRESS PHYSICS OF FAILURE MODELS In the Reliability Prediction Methods for Electronic Products article in Volume 9, Issue 1 of the Reliability Edge newsletter, several physics of failure models for electronic components were presented. An example of data analysis using ALTA was shown using an Arrhenius model. However, many physics of failure models are formulated such that they cannot be used with the one- and two-stress YOU HAVE A SMALL DATA SET: WHAT DO YOU DO? Engineers are no strangers to the pressures of making decisions based on little information and in compressed time frames-- for many engineers, it is almost the norm. The high cost of reliability testing and the need to get to market before competitors often leave data analysts and engineers with less than satisfactory data. Many data sets comprise no failures at all, only a few failures or a ESTIMATING MEAN TIME BETWEEN MAINTENANCE (MTBM) USING … Maintenance includes all activities necessary to maintain the system in good condition. The Mean Time Between Maintenance (MTBM) estimate is necessary for designing a planned general scheme for maintenance and support of systems/subsystems in the operational environment. In this article, we perform a simple example using BlockSim 8 to show how a maintenance action that brings a FMEA CORNER: SOFTWARE FMEA Every month in FMEA Corner, join Carl Carlson, a noted expert in the field of best-practice FMEAs and facilitation, as he addresses a different FMEA theme (based on his book Effective FMEAs) and also answers your questions. This month's theme is Software FMEA. DOWNLOAD FREE PROBABILITY PLOTTING PAPERS TO CREATE YOUR2, 3, 4, 5, 67, 8, 910, 11,12, 1314, 15, 1617, 1819, 20 Probability Plotting Papers. This page provides free probability plotting papers for you to download in *.pdf format.The papers were created by ReliaSoft with the Weibull++ software.In addition, this page provides access to the rank tables required for probability

plotting.

HOW GOOD IS YOUR ASSUMED DISTRIBUTION'S FIT? The above figure shows that the value of P(D CRIT < D max) for the Weibull distribution is smaller than that for the exponential distribution (i.e. the Weibull distribution is statistically a better fit).. Note: The Modified KS test can be used for small sample sizes. The Modified KS test result can be obtained in Weibull++ by selecting Goodness of Fit Results from the Data menu. CRITICALITY ANALYSIS, RPN SYSTEM, DESIGN FOR RELIABILITY Reliability Glossary FMEA and RCM Terms. Analysis plan A plan used to keep track of team members, ground rules and assumptions, estimated completion dates, scheduled work sessions and other details to help an analyst plan and manage analysis projects. FMEA CORNER: PARAMETER DIAGRAMS (P-DIAGRAMS)SEE MORE ON WEIBULL.COM USING THE CUMULATIVE BINOMIAL EQUATION FOR RELIABILITYSEE MORE ON

WEIBULL.COM

INTRODUCTION TO RISK BASED INSPECTION (RBI)SEE MORE ON WEIBULL.COM TOOL TIPS: CUMULATIVE AND INSTANTANEOU MTBF, LIFE DATA Issue 46, December 2004. Tool Tips: What is the difference between cumulative and instantaneous MTBF? The cumulative MTBF is the average time-between-failure from the beginning of the test (i.e. t=0) up to time t.The instantaneous MTBF is the average time-between-failure in a

given interval, dt.

will

CONDITIONAL RELIABILITY FOR A SYSTEMSEE MORE ON WEIBULL.COM DOWNLOAD FREE PROBABILITY PLOTTING PAPERS TO CREATE YOUR2, 3, 4, 5, 67, 8, 910, 11,12, 1314, 15, 1617, 1819, 20 Probability Plotting Papers. This page provides free probability plotting papers for you to download in *.pdf format.The papers were created by ReliaSoft with the Weibull++ software.In addition, this page provides access to the rank tables required for probability

plotting.

HOW GOOD IS YOUR ASSUMED DISTRIBUTION'S FIT? The above figure shows that the value of P(D CRIT < D max) for the Weibull distribution is smaller than that for the exponential distribution (i.e. the Weibull distribution is statistically a better fit).. Note: The Modified KS test can be used for small sample sizes. The Modified KS test result can be obtained in Weibull++ by selecting Goodness of Fit Results from the Data menu. CRITICALITY ANALYSIS, RPN SYSTEM, DESIGN FOR RELIABILITY Reliability Glossary FMEA and RCM Terms. Analysis plan A plan used to keep track of team members, ground rules and assumptions, estimated completion dates, scheduled work sessions and other details to help an analyst plan and manage analysis projects. FMEA CORNER: PARAMETER DIAGRAMS (P-DIAGRAMS)SEE MORE ON WEIBULL.COM USING THE CUMULATIVE BINOMIAL EQUATION FOR RELIABILITYSEE MORE ON

WEIBULL.COM

given interval, dt.

will

CONDITIONAL RELIABILITY FOR A SYSTEMSEE MORE ON WEIBULL.COM WEIBULL MODEL PARAMETERS: EFFECT OF THE PARAMETERS ON THE Life Data Analysis (Weibull Analysis) Visual Demonstration of the Effect of Parameters on the Distribution . As a supplement to the Life Data Analysis Basics quick subject guide, these three plots demonstrate the effect of the shape, scale and location parameters on the Weibull distribution probability density function (pdf).. Other life distributions have one or more parameters that affect HOW GOOD IS YOUR ASSUMED DISTRIBUTION'S FIT? The above figure shows that the value of P(D CRIT < D max) for the Weibull distribution is smaller than that for the exponential distribution (i.e. the Weibull distribution is statistically a better fit).. Note: The Modified KS test can be used for small sample sizes. The Modified KS test result can be obtained in Weibull++ by selecting Goodness of Fit Results from the Data menu. USING THE CUMULATIVE BINOMIAL EQUATION FOR RELIABILITY In this article, we will introduce the cumulative binomial equation and explore two potential applications for reliability engineering. First, we will explain how the equation can be applied for designing a Reliability Demonstration Test (RDT) that will be effective for demonstrating that a certain product has met or exceeded a given reliability at a given confidence interval. INTRODUCTION TO RISK BASED INSPECTION (RBI) Risk based inspection (RBI) is a method in which assets are identified for inspection based on their associated risks as opposed to a predetermined fixed time interval. In other words, it is a prioritizing and planning tool, predominantly used in the oil and gas industries, which aids in the identification of high priority items (i.e., those with high risk) vs. low priority items (i.e., those INTRODUCTION TO THE CROW-AMSAA RELIABILITY GROWTH MODEL Issue 49, March 2005. Reliability Basics: Introduction to the Crow-AMSAA Reliability Growth Model. In "Reliability Analysis for Complex, Repairable Systems" (1974), Dr. Larry H. Crow noted that the Duane model could be stochastically represented as a Weibull process, allowing for statistical procedures to be used in the application of this model in reliability growth. MULTIPLE PLOTS IN WEIBULL++ AND OTHER TOOL TIPS FROM Issue 4, June 2001: Tool Tips: What do the parameters B and C represent in ALTA? The parameters B and C are used by ALTA for the Arrhenius and temperature-non-thermal life-stress relationships. The application returns values for these variables along with the shape parameter for the selected distribution (beta for Weibull or standard deviation for lognormal). TOOL TIPS: WEIBULL++'S MONTE CARLO SIMULATION UTILITY Issue 101, July 2009. Tool Tips: How can I use the Monte Carlo Simulation utility in Weibull++ for risk analysis, probabilistic design and quality control? YOU HAVE A SMALL DATA SET: WHAT DO YOU DO? Engineers are no strangers to the pressures of making decisions based on little information and in compressed time frames-- for many engineers, it is almost the norm. The high cost of reliability testing and the need to get to market before competitors often leave data analysts and engineers with less than satisfactory data. Many data sets comprise no failures at all, only a few failures or a USING ALTA WITH MULTI-STRESS PHYSICS OF FAILURE MODELS In the Reliability Prediction Methods for Electronic Products article in Volume 9, Issue 1 of the Reliability Edge newsletter, several physics of failure models for electronic components were presented. An example of data analysis using ALTA was shown using an Arrhenius model. However, many physics of failure models are formulated such that they cannot be used with the one- and two-stress ESTIMATING MEAN TIME BETWEEN MAINTENANCE (MTBM) USING … Maintenance includes all activities necessary to maintain the system in good condition. The Mean Time Between Maintenance (MTBM) estimate is necessary for designing a planned general scheme for maintenance and support of systems/subsystems in the operational environment. In this article, we perform a simple example using BlockSim 8 to show how a maintenance action that brings a

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WELCOME TO WEIBULL.COM RELIABILITY ENGINEERING RESOURCE WEBSITE With over 6,000 pages, weibull.com is the most complete website devoted entirely to the topic of reliability engineering , reliability theory and reliability data analysis and modeling. The site includes sections on important reliability engineering disciplines, including but not limited to: Reliability Life Data Analysis (Weibull Analysis), Accelerated Life Testing, System Reliability and Maintainability Modeling and Analysis, Reliability Growth Analysis, FMEA & FMECA, Reliability Centered Maintenance (RCM) and Design of Experiments (DOE).

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ACCELERATED LIFE TESTING ANALYSIS * Quick Subject Guide

* eTextbook

* Training: 3 Day Advanced LIFE DATA ANALYSIS (WEIBULL ANALYSIS) * Quick Subject Guide

* eTextbook

* Training: 3 Day Overview RELIABILITY GROWTH ANALYSIS * Quick Subject Guide

* eTextbook

* Training: 3 Day Overview EXPERIMENT DESIGN AND ANALYSIS

* eTextbook

* Training: 3 Day Overview RELIABILITY CENTERED MAINTENANCE * Quick Subject Guide * Sample Reports (from RCM++ software) * Training: 3 Day Overview FMEA AND FMECA ANALYSIS * Quick Subject Guide * Sample Reports (from XFMEA software) * Training: 3 Day Overview

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SYSTEM ANALYSIS (RBDS OR FAULT TREES) * Quick Subject Guide

* eTextbook

* Training: 3 Day Advanced * SCHEDULE OF PUBLIC TRAINING EVENTS: ReliaSoft offers an extensive curriculum of reliability training courses

that provide

thorough coverage of the underlying reliability principles and theory as well as the applicable software tools for data analysis and modeling. Visit the current calendar of public training events at http://www.reliasoft.com/services/training-courses/training-calendar. * Research Papers by ReliaSoft * Reliability Program Blueprint * Reliability Websites

* Reliability Books

* Military Handbooks Archived reliability newsletter with articles and software tips. * Free Web-Based Analysis Tools * Download Probability Plotting Papers * ReliaSoft's Reliability Analysis Software Tools * ReliaSoft's Reliability Training Courses * Calendar of Upcoming Training Events * About Reliability Consulting Services Reliability Engineering, Reliability Theory and Reliability Data Analysis and Modeling Resources for Reliability Engineers The weibull.com reliability engineering resource website is a service

of HBM Prenscia.

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