tailieunhanh - Assessing Product Reliability_1

Đánh giá đáng tin cậy của sản phẩm Chương này mô tả các điều khoản, các mô hình và kỹ thuật được sử dụng để đánh giá và dự đoán độ tin cậy sản phẩm. | 8. Assessing Product Reliability ENGINEERING STATISTICS HANDBOOK hW tools raids lỉEÂtCH BACK Nixf 8. Assessing Product Reliability This chapter describes the terms models and techniques used to evaluate and predict product reliability. 1. Introduction 1. Why important 2. Basic terms and models 3. Common difficulties 4. Modeling physical acceleration 5. Common acceleration models 6. Basic non-repairable lifetime distributions 7. Basic models for repairable systems 8. Evaluate reliability bottom-up 9. Modeling reliability growth 2. Assumptions Prerequisites 1. Choosing appropriate life distribution 2. Plotting reliability data 3. Testing assumptions 4. Choosing a physical acceleration model 5. Models and assumptions for Bayesian methods 10. Bayesian methodology 3. Reliability Data Collection 1. Planning reliability assessment tests 4. Reliability Data Analysis 1. Estimating parameters from censored data 2. Fitting an acceleration model 3. Projecting reliability at use conditions 4. Comparing reliability between two or more populations 5. Fitting system repair rate models 6. Estimating reliability using a Bayesian gamma prior http div898 handbook apr 1 of 2 5 1 2006 10 41 21 AM 8. Assessing Product Reliability Click here for a detailed table of contents References for Chapter 8 NIST SEMATECH HOME TOOLS AID S SEARCH BACK NEXT http div898 handbook apr 2 of 2 5 1 2006 10 41 21 AM 8. Assessing Product Reliability ENGINEERING STATISTICS HANDBOOK hW tools raids lỉEÂtCH BACK NiKf 8. Assessing Product Reliability - Detailed Table of Contents 8. 1. Introduction . 1. Why is the assessment and control of product reliability important . 1. Quality versus reliability . 2. Competitive driving factors . 3. Safety and health considerations . 2. What are the basic terms and models used for reliability evaluation . 1. Repairable systems non-repairable populations and lifetime distribution models .

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