Ebook: Dependability of Engineering Systems: Modeling and Evaluation

The book offers a sound, easily readable theoretical background for dependability prediction and analysis of engineering systems. The book bridges the gap between the real life dependability problems and very sophisticated and highly specialized books in this field. It is addressed to a broad readership including practicing engineers, reliability analysts and postgraduate students of engineering faculties. The professionals in the field may also find some new material that is not covered in available textbooks such as fuzzy logic evaluation of dependability performance, uncertainty assessment, open loop sequential analysis of discrete state stochastic processes, approximate solving of Markov systems.

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The book offers a sound, easily readable theoretical background for dependability prediction and analysis of engineering systems. The book bridges the gap between the real life dependability problems and very sophisticated and highly specialized books in this field. It is addressed to a broad readership including practicing engineers, reliability analysts and postgraduate students of engineering faculties. The professionals in the field may also find some new material that is not covered in available textbooks such as fuzzy logic evaluation of dependability performance, uncertainty assessment, open loop sequential analysis of discrete state stochastic processes, approximate solving of Markov systems.

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The book offers a sound, easily readable theoretical background for dependability prediction and analysis of engineering systems. The book bridges the gap between the real life dependability problems and very sophisticated and highly specialized books in this field. It is addressed to a broad readership including practicing engineers, reliability analysts and postgraduate students of engineering faculties. The professionals in the field may also find some new material that is not covered in available textbooks such as fuzzy logic evaluation of dependability performance, uncertainty assessment, open loop sequential analysis of discrete state stochastic processes, approximate solving of Markov systems.
Content:
Front Matter....Pages I-XII
Nonrenewable Two-State Systems....Pages 1-23
Renewable Two-State Systems....Pages 24-50
Markov Systems....Pages 51-87
Networks....Pages 88-120
Event Inspection Methods....Pages 121-134
Finite-Term Dependability Prediction....Pages 135-142
Simulation....Pages 143-156
Dependability Grading and Optimization....Pages 157-171
Uncertainties in the Dependability Evaluation....Pages 172-186
Back Matter....Pages 187-192

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The book offers a sound, easily readable theoretical background for dependability prediction and analysis of engineering systems. The book bridges the gap between the real life dependability problems and very sophisticated and highly specialized books in this field. It is addressed to a broad readership including practicing engineers, reliability analysts and postgraduate students of engineering faculties. The professionals in the field may also find some new material that is not covered in available textbooks such as fuzzy logic evaluation of dependability performance, uncertainty assessment, open loop sequential analysis of discrete state stochastic processes, approximate solving of Markov systems.
Content:
Front Matter....Pages I-XII
Nonrenewable Two-State Systems....Pages 1-23
Renewable Two-State Systems....Pages 24-50
Markov Systems....Pages 51-87
Networks....Pages 88-120
Event Inspection Methods....Pages 121-134
Finite-Term Dependability Prediction....Pages 135-142
Simulation....Pages 143-156
Dependability Grading and Optimization....Pages 157-171
Uncertainties in the Dependability Evaluation....Pages 172-186
Back Matter....Pages 187-192
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