LEADER 05616nam 22007214a 450 001 9911019946103321 005 20200520144314.0 010 $a9786610366286 010 $a9781280366284 010 $a1280366281 010 $a9780470232750 010 $a0470232757 010 $a9780471458739 010 $a0471458732 010 $a9780471393009 010 $a0471393002 035 $a(CKB)111056485587230 035 $a(EBL)152112 035 $a(OCoLC)56044376 035 $a(SSID)ssj0000118485 035 $a(PQKBManifestationID)11145449 035 $a(PQKBTitleCode)TC0000118485 035 $a(PQKBWorkID)10053368 035 $a(PQKB)10426259 035 $a(MiAaPQ)EBC152112 035 $a(Perlego)2754140 035 $a(EXLCZ)99111056485587230 100 $a20021024d2003 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt 182 $cc 183 $acr 200 00$aCase studies in reliability and maintenance /$fedited by Wallace R. Blischke, D.N. Prabhakar Murthy 210 $aHoboken, NJ $cJohn Wiley$d2003 215 $a1 online resource (691 p.) 225 1 $aWiley series in probability and statistics 300 $aDescription based upon print version of record. 311 08$a9780471413738 311 08$a0471413739 320 $aIncludes bibliographical references and index. 327 $aCase Studies in Reliability and Maintenance; Contents; Contributors; Preface; 1. Introduction and Overview; 1.1. Introduction; 1.2. Reliability, Maintenance, Maintainability, and Quality; 1.3. History of Reliability and Maintainability; 1.4. Applications; 1.5. Life Cycle Concepts; 1.6. Tools and Techniques for the Study of Reliability; 1.7. Reliability and Maintenance Data and Analysis; 1.8. Issues in Reliability and Maintenance; 1.9. Case Studies: An Overview; References; PART A. CASES WITH EMPHASIS ON PRODUCT DESIGN; 2. Space Interferometer Reliability-Based Design Evaluation 327 $a2.1. Introduction 2.2. Problem Description; 2.3. Alternative Optical Interferometer Designs; 2.4. Evaluation of Alternative Designs; 2.5. Interpretations, Conclusions, and Extensions; References; Exercises; Acronyms; 3. Confidence Intervals for Hardware Reliability Predictions; 3.1. Introduction; 3.2. Approach; 3.3. Problem Description; 3.4. Reliability Modeling; 3.5. Subassembly Hardware Reliability Prediction; 3.6. Construction of Component Failure Rate Database; 3.7. Comparing Field Reliability Results with Predictions; 3.8. Implementation; 3.9. Conclusions; References; Exercises 327 $a4. Allocation of Dependability Requirements in Power Plant Design 4.1. Introduction; 4.2. System Characterization; 4.3. Modeling Dependability and Requirements; 4.4. Allocation of Requirements; 4.5. Continued Allocation in the Fault Tree; 4.6. Conclusions; References; Exercises; PART B. CASES WITH EMPHASIS ON DEVELOPMENT AND TESTING; 5. The Determination of the Design Strength of Granite Used as External Cladding for Buildings; 5.1. Introduction; 5.2. Properties of Granite; 5.3. Reliability Criteria; 5.4. Current Practices; 5.5. Case Study; 5.6. Conclusions; References; Exercises 327 $aAppendix A. Rosa Antico Data Appendix B. White Berrocal Data; 6. Use of Sensitivity Analysis to Assess the Effect of Model Uncertainty in Analyzing Accelerated Life Test Data; 6.1. Introduction; 6.2. Weibull Distribution and Initial Data Analysis; 6.3. Response Surface Model Analysis; 6.4. Effect of Stroke Displacement on Spring Life; 6.5. Concluding Remarks; References; Exercises; Appendix A. SPLIDA Commands for the Analyses; Appendix B. Spring-Accelerated Life Test Data; 7. Virtual Qualification of Electronic Hardware; 7.1. Introduction; 7.2. Automotive Module Case Study; 7.3. Summary 327 $aReferences Exercises; 8. Development of a Moisture Soak Model for Surface-Mounted Devices; 8.1. Introduction; 8.2. Experimental Procedure and Results; 8.3. The Moisture Soak Model; 8.4. Discussion; References; Exercises; 9. Construction of Reliable Software in Resource-Constrained Environments; 9.1. Introduction; 9.2. Constrained Development; 9.3. Model and Metrics; 9.4. Case Studies; 9.5. Summary; References; Exercises; 10. Modeling and Analysis of Software System Reliability; 10.1. Introduction; 10.2. NHPP Software Reliability Growth Models; 10.3. Case Study; 10.4. Problems and Alternatives 327 $a10.5. Case Study (Continued) 330 $aIntroducing a groundbreaking companion book to a bestselling reliability text Reliability is one of the most important characteristics defining the quality of a product or system, both for the manufacturer and the purchaser. One achieves high reliability through careful monitoring of design, materials and other input, production, quality assurance efforts, ongoing maintenance, and a variety of related decisions and activities. All of these factors must be considered in determining the costs of production, purchase, and ownership of a product. Case Studies in Reliability 410 0$aWiley series in probability and statistics. 606 $aReliability (Engineering)$vCase studies 606 $aMaintainability (Engineering)$vCase studies 615 0$aReliability (Engineering) 615 0$aMaintainability (Engineering) 676 $a620/.00452 701 $aBlischke$b W. R.$f1934-$01656300 701 $aMurthy$b D. N. P$0742239 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9911019946103321 996 $aCase studies in reliability and maintenance$94420070 997 $aUNINA