Reliability Engineering Probabilistic Models and Maintenance Methods 2nd Edition by Nachlas ISBN 1498752470 978-1498752473
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ISBN 10: 1498752470
ISBN 13: 978-1498752473
Author: Nachlas
Without proper reliability and maintenance planning, even the most efficient and seemingly cost-effective designs can incur enormous expenses due to repeated or catastrophic failure and subsequent search for the cause. Today’s engineering students face increasing pressure from employers, customers, and regulators to produce cost-efficient designs that are less prone to failure and that are safe and easy to use.
The second edition of Reliability Engineering aims to provide an understanding of reliability principles and maintenance planning to help accomplish these goals. This edition expands the treatment of several topics while maintaining an integrated introductory resource for the study of reliability evaluation and maintenance planning. The focus across all of the topics treated is the use of analytical methods to support the design of dependable and efficient equipment and the planning for the servicing of that equipment. The argument is made that probability models provide an effective vehicle for portraying and evaluating the variability that is inherent in the performance and longevity of equipment.
With a blend of mathematical rigor and readability, this book is the ideal introductory textbook for graduate students and a useful resource for practising engineers.
Reliability Engineering Probabilistic Models and Maintenance Methods 2nd Table of contents:
1 Introduction
2 System Structures
2.1 Status Functions
2.2 System Structures and Status Functions
2.2.1 Series Systems
2.2.2 Parallel System
2.2.3 k-out-of-n Systems
2.2.4 Equivalent Structures
2.3 Modules of Systems
2.4 Multistate Components and Systems
Exercises
3 Reliability of System Structures
3.1 Probability Elements
3.2 Reliability of System Structures
3.2.1 Series Systems
3.2.2 Parallel Systems
3.2.3 k-out-of-n Systems
3.2.4 Equivalent Structures
3.3 Modules
3.4 Reliability Importance
3.5 Reliability Allocation
3.6 Conclusion
Exercises
4 Reliability over Time
4.1 Reliability Measures
4.2 Life Distributions
4.2.1 Exponential Distribution
4.2.2 Weibull Distribution
4.2.3 Normal Distribution
4.2.4 Lognormal Distribution
4.2.5 Gamma Distribution
4.2.6 Other Distributions
4.3 System-Level Models
Exercises
5 Failure Processes
5.1 Mechanical Failure Models
5.1.1 Stress–Strength Interference
5.1.2 Shock and Cumulative Damage
5.2 Electronic Failure Models
5.2.1 Arrhenius Model
5.2.2 Eyring Model
5.2.3 Power Law Model
5.2.4 Defect Model
5.3 Other Failure Models
5.3.1 Diffusion Process Model
5.3.2 Proportional Hazards
5.3.3 Competing Risks
Exercises
6 Age Acceleration
6.1 Age Acceleration for Electronic Devices
6.2 Age Acceleration for Mechanical Devices
6.3 Step Stress Strategies
6.4 Concluding Comment
Exercises
7 Nonparametric Statistical Methods
7.1 Data Set Notation and Censoring
7.2 Estimates Based on Order Statistics
7.3 Estimates and Confidence Intervals
7.4 Kaplan–Meier Estimates
7.4.1 Continuous Monitoring of Test Unit Status
7.4.2 Periodic Monitoring of Test Unit Status
7.5 Tolerance Bounds
7.6 TTT Transforms
7.6.1 Theoretical Construction
7.6.2 Application to Complete Data Sets
7.6.3 Application to Censored Data Sets
7.7 Nelson Cumulative Hazard Estimation Method
Exercises
8 Parametric Statistical Methods
8.1 Graphical Methods
8.2 Method of Moments
8.2.1 Estimation Expressions
8.2.2 Confidence Intervals for the Estimates
8.3 Method of Maximum Likelihood
8.4 Maximum Likelihood Method with Data Censoring
8.5 Special Topics
8.5.1 Method of Moments with Censored Data
8.5.2 Data Analysis under Step Stress Testing
Exercises
9 Repairable Systems I: Renewal and Instantaneous Repair
9.1 Renewal Processes
9.2 Classification of Distributions and Bounds on Renewal Measures
9.3 Residual Life Distribution
9.4 Conclusion
Exercises
10 Repairable Systems II: Nonrenewal and Instantaneous Repair
10.1 Minimal Repair Models
10.2 Imperfect Repair Models
10.3 Equivalent Age Models
10.3.1 Kijima Models
10.3.2 Quasi-Renewal Process
10.4 Conclusion
Exercises
11 Availability Analysis
11.1 Availability Measures
11.2 Example Computations
11.2.1 Exponential Case
11.2.2 Numerical Case
11.3 System-Level Availability
11.4 Nonrenewal Cases
11.4.1 Availability under Imperfect Repair
11.4.2 Availability Analysis for the Quasi-Renewal Model
11.5 Markov Models
Exercises
12 Preventive Maintenance
12.1 Replacement Policies
12.1.1 Elementary Models
12.1.2 Availability Model for Age Replacement
12.1.3 Availability Model for Block Replacement
12.1.4 Availability Model for Opportunistic Age Replacement
12.1.4.1 Failure Model
12.1.4.2 Opportunistic Failure Replacement Policy
12.1.4.3 Partial Opportunistic Age Replacement Policy
12.1.4.4 Full Opportunistic Age Replacement Policy
12.1.4.5 Analysis of the Opportunistic Replacement Models
12.2 Nonrenewal Models
12.2.1 Imperfect PM Models
12.2.2 Models Based on the Quasi-Renewal Process
12.2.3 Models Based on the Kijima Model
12.3 Conclusion
Exercises
13 Predictive Maintenance
13.1 System Deterioration
13.2 Inspection Scheduling
13.3 More Complete Policy Analysis
13.4 Models and Analysis Based on Continuous Process Monitoring
13.4.1 Observable Degradation Processes
13.4.2 Unobservable Degradation Processes
13.4.2.1 Time Series Methods
13.4.2.2 Conditional Probability Methods
13.5 Conclusion
Exercises
14 Special Topics
14.1 Statistical Analysis of Repairable System Data
14.1.1 Data from a Single System
14.1.2 Data from Multiple Identical Systems
14.2 Warranties
14.2.1 Full Replacement Warranties
14.2.2 Pro Rata Warranties
14.3 Reliability Growth
14.4 Dependent Components
14.5 Bivariate Reliability
14.5.1 Collapsible Models
14.5.2 Bivariate Models
14.5.2.1 Stochastic Functions
14.5.2.2 Correlation Models
14.5.2.3 Probability Analysis
14.5.2.4 Failure and Renewal Models
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