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Produktbild: Applied Reliability Engineering and Risk Analysis

Applied Reliability Engineering and Risk Analysis Probabilistic Models and Statistical Inference

Aus der Reihe Wiley Series in Quality and Reliability Engineering

227,99 €

inkl. gesetzl. MwSt., Versandkostenfrei

Beschreibung

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

18.11.2013

Verlag

John Wiley & Sons Inc

Seitenzahl

448

Maße (L/B/H)

25,1/17,4/2,7 cm

Gewicht

842 g

Auflage

1. Auflage

Sprache

Englisch

ISBN

978-1-118-53942-2

Beschreibung

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

18.11.2013

Verlag

John Wiley & Sons Inc

Seitenzahl

448

Maße (L/B/H)

25,1/17,4/2,7 cm

Gewicht

842 g

Auflage

1. Auflage

Sprache

Englisch

ISBN

978-1-118-53942-2

Herstelleradresse

Libri GmbH
Europaallee 1
36244 Bad Hersfeld
DE

Email: gpsr@libri.de

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  • Produktbild: Applied Reliability Engineering and Risk Analysis
  • Remembering Boris Gnedenko xvii
     
    List of Contributors xxv
     
    Preface xxix
     
    Acknowledgements xxxv
     
    Part I DEGRADATION ANALYSIS, MULTI-STATE AND CONTINUOUS-STATE SYSTEM RELIABILITY
     
    1 Methods of Solutions of Inhomogeneous Continuous Time Markov Chains for Degradation Process Modeling 3
    Yan-Fu Li, Enrico Zio and Yan-Hui Lin
     
    1.1 Introduction 3
     
    1.2 Formalism of ICTMC 4
     
    1.3 Numerical Solution Techniques 5
     
    1.4 Examples 10
     
    1.5 Comparisons of the Methods and Guidelines of Utilization 13
     
    1.6 Conclusion 15
     
    References 15
     
    2 Multistate Degradation and Condition Monitoring for Devices with Multiple Independent Failure Modes 17
    Ramin Moghaddass and Ming J. Zuo

    2.1 Introduction 17
     
    2.2 Multistate Degradation and Multiple Independent Failure Modes 19
     
    2.3 Parameter Estimation 23
     
    2.4 Important Reliability Measures of a Condition-Monitored Device 25
     
    2.5 Numerical Example 27
     
    2.6 Conclusion 28
     
    Acknowledgements 30
     
    References 30
     
    3 Time Series Regression with Exponential Errors for Accelerated Testing and Degradation Tracking 32
    Nozer D. Singpurwalla
     
    3.1 Introduction 32
     
    3.2 Preliminaries: Statement of the Problem 33
     
    3.3 Estimation and Prediction by Least Squares 34
     
    3.4 Estimation and Prediction by MLE 35
     
    3.5 The Bayesian Approach: The Predictive Distribution 37
     
    Acknowledgements 42
     
    References 42
     
    4 Inverse Lz-Transform for a Discrete-State Continuous-Time Markov Process and Its Application to Multi-State System Reliability Analysis 43
    Anatoly Lisnianski and Yi Ding
     
    4.1 Introduction 43
     
    4.2 Inverse Lz-Transform: Definitions and Computational Procedure 44
     
    4.3 Application of Inverse Lz-Transform to MSS Reliability Analysis 50
     
    4.4 Numerical Example 52
     
    4.5 Conclusion 57
     
    References 58
     
    5 OntheLz-Transform Application for Availability Assessment of an Aging Multi-State Water Cooling System for Medical Equipment 59
    Ilia Frenkel, Anatoly Lisnianski and Lev Khvatskin
     
    5.1 Introduction 59
     
    5.2 Brief Description of the Lz-Transform Method 61
     
    5.3 Multi-state Model of the Water Cooling System for the MRI Equipment 62
     
    5.4 Availability Calculation 75
     
    5.5 Conclusion 76
     
    Acknowledgments 76
     
    References 77
     
    6 Combined Clustering and Lz-Transform Technique to Reduce the Computational Complexity of a Multi-State System Reliability Evaluation 78
    Yi Ding
     
    6.1 Introduction 78
     
    6.2 The Lz-Transform for Dynamic Reliability Evaluation for MSS 79
     
    6.3 Clustering Composition Operator in the Lz-Transform 81
     
    6.4 Computational Procedures 83
     
    6.5 Numerical Example 83
     
    6.6 Conclusion 85
     
    References 85
     
    7 Sliding Window Systems with Gaps 87
    Gregory Levitin
     
    7.1 Introduction 87
     
    7.2 The Models 89
     
    7.3 Reliability Evaluation Technique 91
     
    7.4 Conclusion 96
     
    References 96
     
    8 Development of Reliability Measures Motivated by Fuzzy Sets for Systems with Multi- or Infinite-States 98
    Zhaojun (Steven) Li and Kailash C. Kapur
     
    8.1 Introduction 98
     
    8.2 Models for Components and Systems Using Fuzzy Sets 100
     
    8.3 Fuzzy Reliability for Systems with Continuous or Infinite States 103
     
    8.4 Dynamic Fuzzy Reliability 104
     
    8.5 System Fuzzy Reliability 110
     
    8.6 Examples and Applications 111
     
    8.7 Conclusion 117
     
    References 118
     
    9 Imperatives for Perform