Reliability and Life Cycle Analysis of Deteriorating Systems 1st edition by Mauricio Sánchez Silva, Georgia Ann Klutke ISBN ‎ 3319793225 ‎ 978-3319793221

Reliability and Life Cycle Analysis of Deteriorating Systems 1st edition by Mauricio Sánchez Silva, Georgia Ann Klutke – Ebook PDF Instant Download/Delivery: ‎ 3319793225  ‎, 978-3319793221
Full download Reliability and Life Cycle Analysis of Deteriorating Systems 1st edition after payment

Product details:

ISBN 10:‎  3319793225
ISBN 13: ‎ 978-3319793221
Author: Mauricio Sánchez Silva, Georgia Ann Klutke

This book compiles and critically discusses modern engineering system degradation models and their impact on engineering decisions. In particular, the authors focus on modeling the uncertain nature of degradation considering both conceptual discussions and formal mathematical formulations. It also describes the basics concepts and the various modeling aspects of life-cycle analysis (LCA). It highlights the role of degradation in LCA and defines optimum design and operation parameters. Given the relationship between operational decisions and the performance of the system’s condition over time, maintenance models are also discussed.

The concepts and models presented have applications in a large variety of engineering fields such as Civil, Environmental, Industrial, Electrical and Mechanical engineering. However, special emphasis is given to problems related to large infrastructure systems. The book is intended to be used both as a reference resource for researchers and practitioners and as an academic text for courses related to risk and reliability, infrastructure performance modeling and life-cycle assessment.

Reliability and Life Cycle Analysis of Deteriorating Systems 1st Table of contents:

1 Engineering Decisions for Long-Term Performance of Systems

1.1 Introduction

1.2 Engineering: A Decision-Making Discipline

1.3 Decision Making

1.3.1 The Nature of Engineering Decisions

1.3.2 The Decision-Making Process

1.4 Decisions in the Public Interest

1.5 Prediction

1.6 Choosing Preferred Alternatives

1.6.1 The Role of Optimization in Engineering Decisions

1.6.2 The Constrained Optimization Problem

1.6.3 Multi-Criteria Optimization

1.6.4 Incorporating Randomness into the Optimization

1.6.5 Optimization of Performance Over Time

1.7 Life-Cycle Modeling

1.8 Risk and Engineering Decisions

1.8.1 Interpretations and Approaches to Risk

1.8.2 Mathematical Definition of Risk

1.9 Summary and Conclusions

References

2 Reliability of Engineered Systems

2.1 Introduction

2.2 The Purpose of Reliability Analysis

2.3 Background and a Brief History of Reliability Engineering

2.4 How do Systems Fail?

2.5 The Concept of Reliability

2.6 Risk and Reliability

2.7 Overview of Reliability Methods

2.8 Traditional Structural Reliability Assessment

2.8.1 Basic Formulation

2.8.2 Generalized Reliability Problem

2.8.3 Simulation

2.8.4 Approximate Methods

2.9 Notation and Reliability Measures for Nonrepairable Systems

2.9.1 Lifetime Random Variable and the Reliability Function

2.9.2 Expected Lifetime (Mean Time to Failure)

2.9.3 Hazard Function: Definition and Interpretation

2.9.4 Conditional Remaining Lifetime

2.9.5 Commonly Used Lifetime Distributions

2.9.6 Modeling Degradation to Predict System Lifetime

2.10 Notation and Reliability Measures for Repairable Systems

2.11 Summary and Conclusions

References

3 Basics of Stochastic Processes, Point and Marked Point Processes

3.1 Introduction

3.2 Stochastic Processes

3.2.1 Definition

3.2.2 Overview of the Models Presented in this Chapter

3.3 Point Processes and Counting Processes

3.3.1 Simple Point Processes

3.3.2 Marked Point Processes

3.4 Poisson Process

3.4.1 Inter-event Times and Event Epochs of the Poisson Process

3.4.2 Conditional Distribution of the Arrival Times

3.4.3 Nonhomogeneous Poisson Process

3.4.4 Compound Poisson Process

3.5 Renewal Processes

3.5.1 Definition and Basic Properties

3.5.2 Distribution of N(t)

3.5.3 The Renewal Function and the Elementary Renewal Theorem

3.5.4 Renewal-Type Equations

3.5.5 Key Renewal Theorem

3.5.6 Alternating Renewal Processes and the Distribution of TN(t)

3.6 Summary and Conclusions

References

4 Degradation: Data Analysis and Analytical Modeling

4.1 Introduction

4.2 What Is Degradation?

4.3 Degradation: Basic Formulation

4.4 Degradation Data

4.4.1 Purpose of Data Collection

4.4.2 Data Collection Challenges

4.5 Construction of Models from Field Data

4.6 General Regression Model

4.7 Regression Analysis

4.7.1 Linear Regression

4.7.2 Nonlinear Regression

4.7.3 Special Case: Parameter Estimation for the Gamma Process

4.7.4 Moment Matching Method

4.8 Analytical Degradation Models

4.8.1 A Brief Literature Review

4.8.2 Basic Degradation Paradigms

4.9 Progressive Degradation

4.9.1 Definition and Examples

4.9.2 Models of Progressive Degradation

4.9.3 Performance Evaluation

4.10 Degradation Caused by Shocks

4.10.1 Definition and Examples

4.10.2 Models of Shock Degradation

4.10.3 Increasing Damage With Time

4.11 Combined Degradation Models

4.11.1 Progressive and shock degradation

4.11.2 Damage With Anealing

4.12 Summary and Conclusions

References

5 Continuous State Degradation Models

5.1 Introduction

5.2 Elementary Damage Models

5.3 Shock Models with Damage Accumulation

5.3.1 Compound Poisson Process Shock Model and Generalizations

5.3.2 Renewal Process Shock Model

5.3.3 Solution Using Monte Carlo Simulation

5.4 Models for Progressive Deterioration

5.4.1 Rate-Based Progressive Damage Accumulation Models

5.4.2 Wiener Process Models

5.5 Approximations to Continuous Degradation Via Jump Processes

5.5.1 Gamma Process

5.5.2 Geometric Process

5.6 Increasing Degradation Models

5.6.1 Conditioning on the Damage State

5.6.2 Function of Shock Size Distributions

5.7 Damage Accumulation with Annealing

5.8 Models with Correlated Shock Sizes and Shock Times

5.9 Summary and Conclusions

References

6 Discrete State Degradation Models

6.1 Introduction

6.2 Discrete Time Markov Chains

6.2.1 Definition

6.2.2 Estimating Transition Probabilities from Empirical Data

6.3 Continuous Time Markov Chains

6.4 Markov Renewal Processes and Semi-Markov Processes

6.5 Phase-Type Distributions

6.5.1 Overview of PH Distributions

6.5.2 Formulation of Continuous Phase-Type Distributions

6.5.3 Properties of PH Distributions and Fitting Methods

6.6 Numerical Considerations for PH Distributions

6.7 Phase-Type Distributions for Modeling Degradation: Examples

6.8 Summary and Conclusions

References

7 A Generalized Approach to Degradation

7.1 Introduction

7.2 Definition of a Lévy Process

7.2.1 Characteristic Function and Characteristic Exponent

7.2.2 The Lévy–Khintchine Formula

7.2.3 Decomposition of a Lévy Process

7.2.4 The Lévy Measure Π and the Pure Jump Component of the Lévy Process

7.2.5 Mean and Central Moments of a Lévy Process

7.3 Modeling Degradation via Subordinators

7.3.1 Subordinators

7.3.2 Assumptions of the Model

7.4 Specific Models

7.4.1 Compound Poisson Process (CPP)

7.4.2 Progressive Lévy Deterioration Models

7.4.3 Combined Degradation Mechanisms

7.5 Examples of Degradation Models Based on the Lévy Formalism

7.6 Expressions for Reliability Quantities

7.6.1 Computational Aspects: Inversion Formula

7.6.2 Reliability and Density of the Time to Failure

7.6.3 Numerical Solution

7.6.4 Construction of Sample Paths Using Simulation

7.7 Summary and Conclusions

References

8 Systematically Reconstructed Systems

8.1 Introduction

8.2 Systems Renewed Without Consideration of Damage Accumulation

8.2.1 Description of the Process

8.2.2 Successive Reconstructions at Shock Times

8.2.3 Systems Subject to Random Failures—Extreme Overloads

8.3 Renewal Models Including Repair Times

8.3.1 System Availability

8.3.2 Markov Processes

8.4 Models Including Damage Accumulation

8.5 Simulation of Systems Performance Over Time

8.6 Summary and Conclusions

References

9 Life-Cycle Cost Modeling and Optimization

9.1 Introduction

9.2 Definition and General Aspects

9.2.1 Importance of Life-Cycle Analysis

9.2.2 Definition of Basic Terms

9.2.3 Complexity of LCCA

9.2.4 LCCA and Sustainability

9.2.5 LCCA and Decision Making

9.3 Life-Cycle Cost Formulation

9.4 Financial Evaluation and Discounting

9.4.1 LCCA Assessment Criteria

9.4.2 Discounting

9.4.3 Inter- and Intra-generational Discounting

9.5 Assessment of Benefits and Costs

9.5.1 Evaluation of Benefits

9.5.2 Intervention Costs

9.5.3 End of Service Life Considerations

9.6 Cost of Loss of Human Lives

9.6.1 Approaches to the Problem of Life Loss Evaluation

9.6.2 The Cost of Saving Lives Within LCCA

9.6.3 Use of the LQI as Part of LCCA

9.7 Models for LCCA in Infrastructure Projects

9.7.1 Background

9.7.2 Systems Abandoned After First Failure

9.7.3 Systematically Reconstructed Systems

9.8 Optimal Design Parameters

9.8.1 Problem Definition

9.8.2 Illustrative Examples

9.9 Summary and Conclusions

References

10 Maintenance Concepts and Models

10.1 Introduction

10.2 Overview of Maintenance Planning

10.2.1 Definition of Maintenance

10.2.2 Classification of Maintenance Activities

10.2.3 Maintenance Management

10.2.4 The Role of Inspections in Maintenance Planning

10.3 Performance Measures for Maintained Systems

10.4 Simple Preventive Maintenance Models

10.4.1 Age Replacement Models

10.4.2 Periodic Replacement Models

10.4.3 Periodic Replacement with Complete Repair at Failures

10.4.4 Minimal Repair at Failures

10.4.5 Summary of Periodic Replacements

10.5 Maintenance Models for Infrastructure Systems

10.6 Maintenance of Permanently Monitored Systems

10.6.1 Impulse Control Model for Maintenance

10.6.2 Determining the Optimal Maintenance Policy

10.7 Maintenance of Systems with Non Self-announcing Failures

10.7.1 A General Modeling Framework

10.7.2 Periodic Inspections

10.7.3 Availability for Periodic Inspections (Markovian Deterioration)

10.7.4 An Improved Inspection Policy: Quantile-Based Inspections

10.8 Summary

People also search for Reliability and Life Cycle Analysis of Deteriorating Systems 1st :

reliability and life cycle analysis of deteriorating systems

life cycle impact analysis

time cycle analysis

reliability life cycle analysis

reliability analysis example

Tags: Mauricio Sánchez Silva, Georgia Ann Klutke, Life Cycle, Deteriorating Systems