Reliability modeling, prediction, and optimization
Bringing 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,...
| Otros Autores: | , |
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| Formato: | Libro electrónico |
| Idioma: | Inglés |
| Publicado: |
New York :
John Wiley & Sons, Inc
2000.
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| Edición: | 1st edition |
| Colección: | Wiley series in probability and statistics. Applied probability and statistics.
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| Materias: | |
| Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009628237206719 |
Tabla de Contenidos:
- Reliability: 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
- 1.4 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
- Case 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
- Case 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
- 3.2 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
- 3.6.5 Interpretation of the Mean and Standard Deviation
