8-apr - 8. Assessing Product Reliability This chapter...

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Unformatted text preview: 8. Assessing Product Reliability This chapter describes the terms, models and techniques used to evaluate and predict product reliability. 1. Introduction Why important? 1. Basic terms and models 2. Common difficulties 3. Modeling "physical acceleration" 4. Common acceleration models 5. Basic non-repairable lifetime distributions 6. Basic models for repairable systems 7. Evaluate reliability "bottom-up" 8. Modeling reliability growth 9. Bayesian methodology 10. 2. Assumptions/Prerequisites Choosing appropriate life distribution 1. Plotting reliability data 2. Testing assumptions 3. Choosing a physical acceleration model 4. Models and assumptions for Bayesian methods 5. 3. Reliability Data Collection Planning reliability assessment tests 1. 4. Reliability Data Analysis Estimating parameters from censored data 1. Fitting an acceleration model 2. Projecting reliability at use conditions 3. Comparing reliability between two or more populations 4. Fitting system repair rate models 5. Estimating reliability using a Bayesian gamma prior 6. 8. Assessing Product Reliability http://www.itl.nist.gov/div898/handbook/apr/apr.htm (1 of 2) [5/1/2006 10:41:21 AM] Click here for a detailed table of contents References for Chapter 8 8. Assessing Product Reliability http://www.itl.nist.gov/div898/handbook/apr/apr.htm (2 of 2) [5/1/2006 10:41:21 AM] 8. Assessing Product Reliability - Detailed Table of Contents [8.] Introduction [8.1.] Why is the assessment and control of product reliability important? [8.1.1.] Quality versus reliability [8.1.1.1.] 1. Competitive driving factors [8.1.1.2.] 2. Safety and health considerations [8.1.1.3.] 3. 1. What are the basic terms and models used for reliability evaluation? [8.1.2.] Repairable systems, non-repairable populations and lifetime distribution models [8.1.2.1.] 1. Reliability or survival function [8.1.2.2.] 2. Failure (or hazard) rate [8.1.2.3.] 3. "Bathtub" curve [8.1.2.4.] 4. Repair rate or ROCOF [8.1.2.5.] 5. 2. What are some common difficulties with reliability data and how are they overcome? [8.1.3.] Censoring [8.1.3.1.] 1. Lack of failures [8.1.3.2.] 2. 3. What is "physical acceleration" and how do we model it? [8.1.4.] 4. What are some common acceleration models? [8.1.5.] Arrhenius [8.1.5.1.] 1. Eyring [8.1.5.2.] 2. Other models [8.1.5.3.] 3. 5. What are the basic lifetime distribution models used for non-repairable populations? [8.1.6.] Exponential [8.1.6.1.] 1. 6. 1. 8. Assessing Product Reliability http://www.itl.nist.gov/div898/handbook/apr/apr_d.htm (1 of 4) [5/1/2006 10:41:13 AM] Weibull [8.1.6.2.] 2. Extreme value distributions [8.1.6.3.] 3. Lognormal [8.1.6.4.] 4. Gamma [8.1.6.5.] 5. Fatigue life (Birnbaum-Saunders) [8.1.6.6.] 6....
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This note was uploaded on 02/03/2012 for the course ENGR 202 taught by Professor Hi during the Spring '11 term at UCLA.

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8-apr - 8. Assessing Product Reliability This chapter...

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