Probabilistic Reliability Models - Hardcover

Ushakov, Igor A.

Hardcover

ISBN 10: 111834183X ISBN 13: 9781118341834

Publisher: Wiley, 2012

Synopsis

Practical Approaches to Reliability Theory in Cutting-Edge Applications

Probabilistic Reliability Models helps readers understand and properly use statistical methods

and optimal resource allocation to solve engineering problems.

The author supplies engineers with a deeper understanding of mathematical models while also

equipping mathematically oriented readers with a fundamental knowledge of the engineeringrelated

applications at the center of model building. The book showcases the use of probability

theory and mathematical statistics to solve common, real-world reliability problems. Following

an introduction to the topic, subsequent chapters explore key systems and models including:

• Unrecoverable objects and recoverable systems

• Methods of direct enumeration

• Markov models and heuristic models

• Performance effectiveness

• Time redundancy

• System survivability

• Aging units and their related systems

• Multistate systems

Detailed case studies illustrate the relevance of the discussed methods to real-world technical

projects including software failure avalanches, gas pipelines with underground storage, and

intercontinental ballistic missile (ICBM) control systems. Numerical examples and detailed

explanations accompany each topic, and exercises throughout allow readers to test their

comprehension of the presented material.

Probabilistic Reliability Models is an excellent book for statistics, engineering, and operations

research courses on applied probability at the upper-undergraduate and graduate levels. The

book is also a valuable reference for professionals and researchers working in industry who

would like a mathematical review of reliability models and the relevant applications.

About this title

About the Author

IGOR USHAKOV, PhD, is Senior Consultant at Advanced Logistics Developments in Tel Aviv, Israel. He has published extensively in his areas of research interest, which include operations research, applied statistics, and probabilistic modeling. Dr. Ushakov is the author of Handbook of Reliability Engineering as well as the coauthor of Probabilistic Reliability Engineering and Statistical Reliability Engineering, all published by Wiley.

From the Back Cover

Practical approaches to reliability theory in cutting-edge applications

Probabilistic Reliability Models helps readers understand and properly use statistical methods and optimal resource allocation to solve engineering problems.

The author supplies engineers with a deeper understanding of mathematical models while also equipping mathematically oriented readers with a fundamental knowledge of the engineering-related applications at the center of model building. The book showcases the use of probability theory and mathematical statistics to solve common, real-world reliability problems. Following an introduction to the topic, subsequent chapters explore key systems and models including:

• Unrecoverable objects and recoverable systems
• Markov models and heuristic models
• Time redundancy
• Aging units and their related systems
• Methods of direct enumeration
• Performance effectiveness
• System survivability
• Multistate systems

Detailed case studies illustrate the relevance of the discussed methods to real-world technical projects including software failure avalanches, gas pipelines with underground storage, and intercontinental ballistic missile (ICBM) control systems. Numerical examples and detailed explanations accompany each topic, and exercises throughout allow readers to test their comprehension of the presented material.

Probabilistic Reliability Models is an excellent book for statistics, engineering, and operations research courses on applied probability at the upper-undergraduate and graduate levels. The book is also a valuable reference for professionals and researchers working in industry who would like a mathematical review of reliability models and the relevant applications.

From the Inside Flap

Practical approaches to reliability theory in cutting-edge applications

Probabilistic Reliability Models helps readers understand and properly use statistical methods and optimal resource allocation to solve engineering problems.

The author supplies engineers with a deeper understanding of mathematical models while also equipping mathematically oriented readers with a fundamental knowledge of the engineering-related applications at the center of model building. The book showcases the use of probability theory and mathematical statistics to solve common, real-world reliability problems. Following an introduction to the topic, subsequent chapters explore key systems and models including:

• Unrecoverable objects and recoverable systems
• Markov models and heuristic models
• Time redundancy
• Aging units and their related systems
• Methods of direct enumeration
• Performance effectiveness
• System survivability
• Multistate systems

Detailed case studies illustrate the relevance of the discussed methods to real-world technical projects including software failure avalanches, gas pipelines with underground storage, and intercontinental ballistic missile (ICBM) control systems. Numerical examples and detailed explanations accompany each topic, and exercises throughout allow readers to test their comprehension of the presented material.

Probabilistic Reliability Models is an excellent book for statistics, engineering, and operations research courses on applied probability at the upper-undergraduate and graduate levels. The book is also a valuable reference for professionals and researchers working in industry who would like a mathematical review of reliability models and the relevant applications.

Edition details

• Publisher: Wiley
• Publication date: 2012
• Language: English
• ISBN 10: 111834183X
• ISBN 13: 9781118341834
• Binding: Hardcover
• Edition number: 1
• Number of pages: 248