Reliability engineering and services / Tongdan Jin.

Format:

Book

Author/Creator:

Jin, Tongdan, author.

Series:

THEi Wiley ebooks.

Language:

English

Subjects (All):

Reliability (Engineering).

Physical Description:

1 online resource (565 pages)

Edition:

First edition

Place of Publication:

Hoboken, New Jersey ; Chichester, West Sussex, England : Wiley, 2019.

System Details:

Access using campus network via VPN at home (THEi Users Only).

text file

Summary:

Offers a holistic approach to guiding product design, manufacturing, and after-sales support as the manufacturing industry transitions from a product-oriented model to service-oriented paradigm This book provides fundamental knowledge and best industry practices in reliability modelling, maintenance optimization, and service parts logistics planning. It aims to develop an integrated product-service system (IPSS) synthesizing design for reliability, performance-based maintenance, and spare parts inventory. It also presents a lifecycle reliability-inventory optimization framework where reliability, redundancy, maintenance, and service parts are jointly coordinated. Additionally, the book aims to report the latest advances in reliability growth planning, maintenance contracting and spares inventory logistics under non-stationary demand condition. Reliability Engineering and Service provides in-depth chapter coverage of topics such as: Reliability Concepts and Models; Mean and Variance of Reliability Estimates; Design for Reliability; Reliability Growth Planning; Accelerated Life Testing and Its Economics; Renewal Theory and Superimposed Renewals; Maintenance and Performance-Based Logistics; Warranty Service Models; Basic Spare Parts Inventory Models; Repairable Inventory Systems; Integrated Product-Service Systems (IPPS), and Resilience Modeling and Planning Guides engineers to design reliable products at a low cost Assists service engineers in providing superior after-sales support Enables managers to respond to the changing market and customer needs Uses end-of-chapter case studies to illustrate industry best practice Lifecycle approach to reliability, maintenance and spares provisioning Reliability Engineering and Service is an important book for graduate engineering students, researchers, and industry-based reliability practitioners and consultants.

Contents:

Cover

Title Page

Copyright

Contents

Series Editor's Foreword

Preface

Acknowledgement

About the Companion Website

Chapter 1 Basic Reliability Concepts and Models

1.1 Introduction

1.2 Reliability Definition and Hazard Rate

1.2.1 Managing Reliability for Product Lifecycle

1.2.2 Reliability Is a Probabilistic Measure

1.2.3 Failure Rate and Hazard Rate Function

1.2.4 Bathtub Hazard Rate Curve

1.2.5 Failure Intensity Rate

1.3 Mean Lifetime and Mean Residual Life

1.3.1 Mean‐Time‐to‐Failure

1.3.2 Mean‐Time‐Between‐Failures

1.3.3 Mean‐Time‐Between‐Replacements

1.3.4 Mean Residual Life

1.4 System Downtime and Availability

1.4.1 Mean‐Time‐to‐Repair

1.4.2 System Availability

1.5 Discrete Random Variable for Reliability Modeling

1.5.1 Bernoulli Distribution

1.5.2 Binomial Distribution

1.5.3 Poisson Distribution

1.6 Continuous Random Variable for Reliability Modeling

1.6.1 The Uniform Distribution

1.6.2 The Exponential Distribution

1.6.3 The Weibull Distribution

1.6.4 The Normal Distribution

1.6.5 The Lognormal Distribution

1.6.6 The Gamma Distribution

1.7 Bayesian Reliability Model

1.7.1 Concept of Bayesian Reliability Inference

1.7.2 Bayes Formula

1.8 Markov Model and Poisson Process

1.8.1 Discrete Markov Model

1.8.2 Birth-Death Model

1.8.3 Poisson Process

References

Chapter 2 Reliability Estimation with Uncertainty

2.1 Introduction

2.2 Reliability Block Diagram

2.3 Series Systems

2.3.1 Reliability of Series System

2.3.2 Mean and Variance of Reliability Estimate

2.4 Parallel Systems

2.4.1 Reliability of Parallel Systems

2.4.2 Mean and Variance of Reliability Estimate

2.5 Mixed Series and Parallel Systems

2.5.1 Series-Parallel System

2.5.2 Parallel-Series System

2.5.3 Mixed Series-Parallel System.

2.6 Systems with k‐out‐of‐n:G Redundancy

2.6.1 Reliability for Hot‐Standby Redundant Systems

2.6.2 Application to Data Storage Systems

2.7 Network Systems

2.7.1 Edge Decomposition

2.7.2 Minimum Cut Set

2.7.3 Minimum Path Set

2.7.4 Linear‐Quadratic Approximation to Terminal‐Pair Reliability

2.7.5 Moments of Terminal‐Pair Reliability Estimate

2.8 Reliability Confidence Intervals

2.8.1 Confidence Interval for Pass/Fail Tests

2.8.2 Confidence Intervals for System Reliability

2.9 Reliability of Multistate Systems

2.9.1 Series or Parallel Systems with Three‐State Components

2.9.2 Universal Generating Function

2.10 Reliability Importance

2.10.1 Marginal Reliability Importance

2.10.2 Joint Reliability Importance Measure

2.10.3 Integrated Importance Measure for Multistate System

2.10.4 Integrated Importance Measure for System Lifetime

Chapter 3 Design and Optimization for Reliability

3.1 Introduction

3.2 Lifecycle Reliability Optimization

3.2.1 Reliability-Design Cost

3.2.2 Reliability-Manufacturing Cost

3.2.3 Minimizing Product Lifecycle Cost

3.3 Reliability and Redundancy Allocation

3.3.1 Reliability Allocation for Cost Minimization

3.3.2 Reliability Allocation under Cost Constraint

3.3.3 Redundancy Allocation for Series System

3.3.4 Redundancy Allocation for k‐out‐of‐n Subsystems

3.4 Multiobjective Reliability-Redundancy Allocation

3.4.1 Pareto Optimality

3.4.2 Maximizing Reliability and Minimizing Variance

3.4.3 Numerical Experiment

3.5 Failure‐in‐Time Based Design

3.5.1 Component Failure Rate Estimate

3.5.2 Component with Life Data

3.5.3 Components without Life Data

3.5.4 Non‐component Failure Rate

3.6 Failure Rate Considering Uncertainty

3.6.1 Temperature Variation

3.6.2 Electrical Derating Variation.

3.7 Fault‐Tree Method

3.7.1 Functional Block Diagram

3.7.2 Fault‐Tree Analysis

3.8 Failure Mode, Effect, and Criticality Analysis

3.8.1 Priority Risk Number

3.8.2 Criticality Analysis

3.9 Case Study: Reliability Design for Six Sigma

3.9.1 Principle of Design for Six Sigma

3.9.2 Implementation of Printed Circuit Board Design

Chapter 4 Reliability Growth Planning

4.1 Introduction

4.2 Classification of Failures

4.3 Failure Mode Types

4.4 No Fault Found (NFF) Failures

4.4.1 The Causes of NFF

4.4.2 The Impact of NFF

4.4.2.1 Equipment Level of Support

4.4.2.2 At the Repair Shop Level of Support

4.4.2.3 In Spare Parts Inventory and Supply Chain

4.5 Corrective Action Effectiveness

4.5.1 Engineering Change Order Versus Retrofit

4.5.2 Corrective Action Effectiveness

4.6 Reliability Growth Model

4.6.1 Duane Postulate

4.6.2 Power Law Model

4.6.3 Trend Test Statistics

4.6.4 Bounded Failure Intensity Model

4.6.5 Bayesian Projection Model

4.7 Reliability Growth and Demonstration Test

4.7.1 Optimal Reliability Growth Test

4.7.2 Reliability Demonstration Test

4.7.2.1 Cumulative Binomial

4.7.2.2 Exponential Chi‐Squared

4.8 Lifecycle Reliability Growth Planning

4.8.1 Reliability Growth of Field Systems

4.8.2 Prediction of Latent Failure Modes

4.8.3 Allocation of Corrective Action Resource

4.9 Case Study

4.9.1 Optimizing Reliability Growth Test of Diesel Engines

4.9.2 Multiphase Reliability Growth Strategy

Chapter 5 Accelerated Stress Testing and Economics

5.1 Introduction

5.2 Design of Accelerated Stress Test

5.2.1 HALT, HASS, and ESS

5.2.2 Types of Accelerating Stresses

5.2.2.1 Environmental Stresses

5.2.2.2 Electrical Stress

5.2.2.3 Mechanical Stress

5.2.2.4 Chemical Stress.

5.2.3 Stress Profiling

5.3 Scale Acceleration Model and Usage Rate

5.3.1 Exponential Accelerated Failure Time Model

5.3.2 Weibull AFT Models

5.3.3 Lognormal AFT Models

5.3.4 Linear Usage Acceleration Model

5.3.5 Miner's Rule under Cyclic Loading

5.4 Arrhenius Model

5.4.1 Accelerated Life Factor

5.4.2 Other Units for Activation Energy

5.5 Eyring Model and Power Law Model

5.5.1 Eyring Model

5.5.2 Inverse Power Law Model

5.6 Semiparametric Acceleration Models

5.6.1 Proportional Hazard Model

5.6.2 PH Model with Weibull Hazard Rate

5.6.3 Logistic Regression Model

5.6.4 Log‐Logistic Regression Model

5.7 Highly Accelerated Stress Screening Testing

5.7.1 Reliability with HASS Versus Non‐HASS

5.7.2 Financial Justification of HASS

5.8 A Case Study for HASS Project

5.8.1 DMAIC in Six Sigma Reliability Program

5.8.2 Define - Financial Analysis and Project Team

5.8.2.1 Financial Analysis

5.8.2.2 Forming a Cross‐Functional Team

5.8.3 Measure - Infant Mortality Distribution

5.8.4 Analyze - Root Cause of Early Failures

5.8.5 Improve - Action Taken

5.8.6 Control - Monitoring and Documentation

Chapter 6 Renewal Theory and Superimposed Renewal

6.1 Introduction

6.2 Renewal Integral Equation

6.2.1 Overview of Renewal Solution Methods

6.2.2 Generic Renewal Function

6.2.3 Renewal in Laplace Transform

6.2.4 Geometric and Geometric‐Type Renewal

6.2.5 Generalized Renewal Process

6.3 Exponential and Erlang Renewal

6.3.1 Exponential Renewal

6.3.2 Erlang Renewal

6.4 Generalized Exponential Renewal

6.4.1 Generalized Exponential Distribution

6.4.2 Renewal in Laplace Transform

6.4.3 Inverse Laplace Transform

6.5 Weibull Renewal with Decreasing Failure Rate

6.5.1 Approximation by Mixed Exponential Functions.

6.5.2 Laplace and Inverse Laplace Transform

6.6 Weibull Renewal with Increasing Failure Rate

6.6.1 Transient Renewal Function

6.6.2 Approximation without Oscillation

6.6.3 Approximation with Oscillation

6.7 Renewal under Deterministic Fleet Expansion

6.7.1 Superimposed Exponential Renewal

6.7.2 Superimposed Erlang Renewal

6.7.3 Lead‐Time Renewal

6.8 Renewal under Stochastic Fleet Expansion

6.8.1 Aggregate Exponential Renewal

6.8.2 Lead‐Time Renewal

6.9 Case Study

6.9.1 Installed Base of Wind Turbines in the USA

6.9.2 Spare Parts Prediction under Fleet Expansion

Chapter 7 Performance‐Based Maintenance

7.1 Introduction

7.2 Corrective Maintenance

7.2.1 Classification of Maintenance Policy

7.2.2 Corrective Maintenance Management

7.3 Preventive Maintenance

7.3.1 Block Replacement

7.3.2 Age‐Based Replacement

7.4 Condition‐Based Maintenance

7.4.1 Principle of Condition‐Based Maintenance

7.4.2 Proportional Hazard Model

7.4.3 Gamma Degradation Process

7.4.4 Stationary Gamma Degradation Process

7.5 Inverse Gaussian Degradation Process

7.5.1 Distribution of Inverse Gaussian Process

7.5.2 Probability Density Function of First Passage Time

7.6 Non‐Stationary Gaussian Degradation Process

7.6.1 The Degradation Model

7.6.2 Hypothesis Testing

7.6.3 Estimation of Remaining Useful Life

7.7 Performance‐Based Maintenance

7.7.1 The Rise of Performance‐Driven Service

7.7.2 Procedures for PBM Implementation

7.7.3 Five Overarching Performance Measures

7.7.4 Reliability and MTBF Considering Usage Rate

7.7.5 Operational Availability under Corrective Maintenance

7.7.6 Operational Availability under Preventive Maintenance

7.8 Contracting for Performance‐Based Logistics

7.8.1 Incentive Payment Schemes.

7.8.2 Game‐Theoretic Contracting Model.

Notes:

Includes bibliographical references and index.

Description based on print version record.

ISBN:

9781119167044

1119167043

9781523128471

152312847X

9781119167037

1119167035

9781119167020

1119167027

OCLC:

1043953438