LEADER 05433nam 2200661 450 001 9910139566703321 005 20170809152801.0 010 $a1-283-28128-7 010 $a9786613281289 010 $a1-118-15048-1 010 $a1-118-15047-3 035 $a(CKB)2550000000060221 035 $a(EBL)818798 035 $a(OCoLC)757511664 035 $a(SSID)ssj0000608297 035 $a(PQKBManifestationID)11385594 035 $a(PQKBTitleCode)TC0000608297 035 $a(PQKBWorkID)10608225 035 $a(PQKB)10986556 035 $a(MiAaPQ)EBC818798 035 $a(CaSebORM)9780471184508 035 $a(EXLCZ)992550000000060221 100 $a20160816h20002000 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aReliability $emodeling, prediction, and optimization /$fWallace R. Blischke, D.N. Prabhakar Murthy 205 $a1st edition 210 1$aNew York :$cJohn Wiley & Sons, Inc.,$d2000. 210 4$dİ2000 215 $a1 online resource (852 p.) 225 1 $aWiley Series in Probability and Statistics. Applied Probability and Statistics Section 300 $a"A Wiley-Interscience Publication." 311 $a0-471-18450-0 320 $aIncludes bibliographical references and indexes. 327 $aReliability: Modeling, Prediction, and Optimization; Contents; Part A: Context of Reliability Analysis; 1 An Overview; 1.1 Introduction; 1.2 Illustrative Examples of Products and Systems; Example 1.1 Incandescent Electric Bulb; Example 1.2 Hydraulically Operated Fail-Safe Gate Valve; Example 1.3 Pneumatic Pump; Example 1.4 Brake Mechanism for Train Wagons; Example 1.5 Liquid Rocket Engine; Example 1.6 Electric Power System; 1.3 System and Product Deterioration and Failure; 1.3.1 Failures and Faults; 1.3.2 Failure Modes; 1.3.3 Failure Causes and Severity; 1.3.4 Deterioration 327 $a1.4 Concepts and History of Reliability1.4.1 Basic Concepts; 1.4.2 A Brief History of Reliability; 1.5 Product Life Cycle and Reliability; 1.6 Buyer's Perspective; 1.6.1 Individuals; 1.6.2 Businesses; 1.6.3 Government; 1.7 Manufacturer's Perspective; 1.8 Framework for Solving Reliability Related Problems; 1.8.1 Reliability Issues; 1.8.2 The Systems Approach; 1.9 Objectives of this Book; 1.10 Approach; 1.11 Outline of this Book; Notes; Exercises; 2 Illustrative Cases and Data Sets; 2.1 Introduction; 2.2 Reliability Data; 2.3 Cases; Case 2.1 Reliability of a Simple Part 327 $aCase 2.2 Reliability of a Major Component (Incomplete Data)Case 2.3 Heart Pacemaker Data; Case 2.4 Automobile Warranty Data; Case 2.5 Industrial Product Sold in Batches; Case 2.6 Tensile Strength of Fibers; Case 2.7 Reliability of Hydraulic Systems; Case 2.8 Bus Motor Failure Data; Case 2.9 Lifetimes of Light Bulbs; Case 2.10 Air Conditioning Unit Failures; Case 2.11 Electronic Connectors; Case 2.12 Laser Weld Strength; Case 2.13 Clerical Errors; Case 2.14 Ball Bearing Data; Case 2.15 Helicopter Failure Data; Case 2.16 Compressor Failure Data; Case 2.17 Jet Engines 327 $aCase 2.18 Offshore Oil Exploration EquipmentCase 2.19 Throttle Failures; Case 2.20 Breaking Strengths of Single and Bundled Fibers; Case 2.21 Breaking Strengths of Carbon Fibers in Resin; Case 2.22 Stress Fatigue Failures, Tungsten Alloy; Case 2.23 Software Reliability; Case 2.24 Aircraft Radar Component Failures; Case 2.25 Ship Engine Maintenance; Case 2.26 Failures of Electronic Modules; Case 2.27 Nuclear Power Plant Cooling System; Notes; Exercises; Part B: Basic Reliability Methodology; 3 Collection and Preliminary Analysis of Failure Data; 3.1 Introduction 327 $a3.2 Data-Based Reliability Analysis3.2.1 Levels of Data; 3.2.2 Types of Data and Data Sources; 3.2.3 Use of Data in Reliability Analysis; 3.3 Attribute Data; 3.3.1 Data Structure; 3.3.2 Count Data; 3.4 Test Data on Product Lifetimes (Failure Data); 3.4.1 Complete and Incomplete Data; 3.4.2 Types of Censoring; 3.5 Effect of Data Structure on Statistical Analysis; 3.5.1 Scales of Measurement; 3.5.2 Statistical Inference; 3.6 Basic Descriptive Statistics; 3.6.1 Frequency Distributions; 3.6.2 Other Graphical Methods; 3.6.3 Measures of Center; 3.6.4 Measures of Variability 327 $a3.6.5 Interpretation of the Mean and Standard Deviation 330 $aBringing together business and engineering to reliability analysis With manufactured products exploding in numbers and complexity, reliability studies play an increasingly critical role throughout a product's entire life cycle-from design to post-sale support. Reliability: Modeling, Prediction, and Optimization presents a remarkably broad framework for the analysis of the technical and commercial aspects of product reliability, integrating concepts and methodologies from such diverse areas as engineering, materials science, statistics, probability, operations research, and management. Written 410 0$aWiley series in probability and statistics.$pApplied probability and statistics. 606 $aReliability (Engineering) 608 $aElectronic books. 615 0$aReliability (Engineering) 676 $a519.5 700 $aBlischke$b W. R.$f1934-$0897432 702 $aMurthy$b D. N. P. 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910139566703321 996 $aReliability$92004986 997 $aUNINA