Systems Reliability and Risk Analysis
Ernst G. Frankel This book has its origin in lecture notes developed over several years for use in a course in Systems Reliability for engineers concerned with the design of physical systems such as civil structures, power plants, and transport vehicles of all types. Increasing public concern with t...
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| Format: | eBook |
| Language: | English |
| Published: |
Dordrecht
Springer Netherlands
1984, 1984
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| Edition: | 1st ed. 1984 |
| Series: | Engineering Applications of Systems Reliability and Risk Analysis
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| Subjects: | |
| Online Access: | |
| Collection: | Springer Book Archives -2004 - Collection details see MPG.ReNa |
Table of Contents:
- 7.2 Chi-Square Approximation to Multinominal Density
- 7.3 Testing Hypothesis Using Chi-Square Density
- 7.4 Test to Determine if the Observed nij’s Are From a Markov Chain with Transition Probabilities Pij
- 7.5 Test to Determine Stationarity of Transition Probabilities
- 7.6 Test to Determine Independence of Observed Transition Frequencies nij
- 7.7 Test to Determine if Process is First or Second Order Markov Chain
- 7.8 Test to Determine if Markov Chains Are Identical
- 7.9 Example of Chi-Square Tests
- 7.10 The Likelihood Ratio Tests
- 7.11 Continuous Time Parameter Markov Processes
- 8.0 The Generalized Failure Process for Nonmaintained Systems
- 8.1 Solution Using Laplace Transforms
- 8.2 Stand-By (Off Line) Redundant System
- 8.3 Series System
- 8.4 Redundant (On Line) Parallel System
- 8.5 State Dependent Reliability Models
- 8.6Linear Stress Models
- 8.7 The Effect of Switching
- 9.0 Analyses of Maintained System
- 9.1 Systems Availability
- 11.5 Use of Networks in the Analysis of Interactive Systems Reliability, Maintainability, and Availability
- 12.0 Application Of Fault Tree And Other Network Techniques
- 12.1 Implementation of Fault Tree Analysis
- 13.0 Reliability And Risk In Perspective
- 13.1 Analysis of Risk
- 13.2 Issues and Concerns
- Tables
- Standard Normal Curve
- Table of Exponential Functions
- Required Number of Failures
- t-Function
- Gamma Function
- 9.2 Markov Models for Maintained Systems
- 9.3 Development of the General Expression for the Mean Time to Failure of a Markov Chain
- 9.4 Models of Maintained Systems With Redundant Off-Line Components
- Appendix 9.A Analysis of Non-Markovian Systems
- Appendix 9.B Introduction to Flowgraphs
- Appendix 9.C Introduction to GERT
- 10.0 Strategies for Repair Policies
- 10.0.1 General Repair Strategy Determination
- 10.0.2 Cost of Scheduled Overhauls and Inspections
- 10.0.3 Spare Part Inventory Provisioning
- 10.1 Use of Dynamic Programming in Systems Reliability
- 10.2 The Use of the Lagrange Multiplier Method
- 10.3 Optimum Maintenance Policies by Dynamic Programming
- 10.4 Spare Part Provisioning Models
- 10.5 Systems Performance Evaluation
- 11.0 Effects Of Component Interaction
- 11.1 Effect of Interaction of Component Reliability
- 11.2 Analysis of Wear Rates
- 11.3 Component Reliability
- 11.4 System Reliability
- Preface
- 1.0 Introduction
- 2.0 Fundamental Concepts
- 2.A Basic Concepts of Probability and Statistics
- 3.0 Assessment of Reliability Function
- 4.0 Reliability of Series and Parallel Systems
- Appendix 4.A A Systems Example
- 5.0 Failure Mode and Effects Analysis — Fault Tree Analyses
- 5.1 Common Cause Failure
- 5.2 Complex System Reliability Networks
- 5.3 Fault Tree Analysis
- 5.3.1 Min. Cut Sets of Fault Trees
- Appendix 5.A Performance of a Failure Mode and Effects Analysis
- Appendix 5.B Performance of a Maintainability Engineering Analysis
- 6.0 Multivariate Probability Distribution and Stochastic Processes
- 6.1 Multivariate Probability Distributions
- 6.2 Stochastic Processes
- 6.3 Markov Processes
- Appendix 6.A Introduction to Matrix Algebra
- Appendix 6.B Z-Transform Methods for Markov Chains
- Appendix 6.C Laplace Transformation
- 7.0 Testing for Markov Properties
- 7.1 Estimation of Transition Probabilities