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· 2016· Book chapter

Reliability Engineering and Risk Analysis

Mohammad Modarres, Mark P. Kaminskiy, Vasiliy Krivtsov

Short summary

This textbook offers a practical, multi-disciplinary overview of reliability and risk analysis techniques, updated with new topics including Bayesian uncertainty analysis and physics-of-failure life estimation.

AI-generated from the title and abstract; the full text is not read.

Key points

  • Covers practical and comprehensive reliability and risk analysis techniques.
  • Targets undergraduate/graduate engineering students and practicing engineers.
  • New edition includes Bayesian uncertainty analysis and physics-of-failure life estimation.
  • Features expanded discussions on generalized renewal process and optimal maintenance.
  • Includes examples and end-of-chapter exercises for clarity and practice.

AI-generated from the title and abstract; the full text is not read.

Abstract

This undergraduate and graduate textbook provides a practical and comprehensive overview of reliability and risk analysis techniques. Written for engineering students and practicing engineers, the book is multi-disciplinary in scope. The new edition has new topics in classical confidence interval estimation; Bayesian uncertainty analysis; models for physics-of-failure approach to life estimation; extended discussions on the generalized renewal process and optimal maintenance; and further modifications, updates, and discussions. The book includes examples to clarify technical subjects and many end of chapter exercises. PowerPoint slides and a Solutions Manual are also available.

The authors' abstract, as published at the source., 2016 · DOI ↗

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Field: Software

SoftwareComputer Science