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Reliability Prediction and Testing Textbook

About Reliability Prediction and Testing Textbook

METHODOLOGY OF RELIABILITY PREDICTION SUCCESSFUL RELIABILITY PREDICTION DEVELOPMENT AND USING ART/ADT FOR OBTAINING ACCURATE INFORMATION FOR SPECIFIC PRODUCT RELIABILITY CHANGING DURING GIVEN TIME This textbook reviews the methodologies of reliability prediction as currently used in industries such as electronics, automotive, aircraft, aerospace, off-highway, farm machinery, and others. It then discusses why these are not successful, and presents methods developed by the authors for obtaining accurate information for successful prediction. The approach is founded on approaches that accurately duplicate the real world use of the product. Their approach is based on two fundamental components needed for successful reliability prediction: first, the methodology necessary; and second, use of accelerated reliability and durability testing as a source of the necessary data. Applicable to all areas of engineering, this textbook details the newest techniques and tools to achieve successful reality prediction and testing. It demonstrates practical examples of the implementation of the approaches described. This book is a tool for engineers, managers, researchers, in industry, teachers, and students. The reader will learn the importance of the interactions of the influencing factors and the interconnections of safety and human factors in product prediction and testing.

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  • Language:
  • English
  • ISBN:
  • 9781119411888
  • Binding:
  • Hardback
  • Pages:
  • 272
  • Published:
  • February 14, 2019
  • Dimensions:
  • 152x231x18 mm.
  • Weight:
  • 544 g.
Delivery: 2-4 weeks
Expected delivery: December 19, 2024

Description of Reliability Prediction and Testing Textbook

METHODOLOGY OF RELIABILITY PREDICTION SUCCESSFUL RELIABILITY PREDICTION DEVELOPMENT AND USING ART/ADT FOR OBTAINING ACCURATE INFORMATION FOR SPECIFIC PRODUCT RELIABILITY CHANGING DURING GIVEN TIME This textbook reviews the methodologies of reliability prediction as currently used in industries such as electronics, automotive, aircraft, aerospace, off-highway, farm machinery, and others. It then discusses why these are not successful, and presents methods developed by the authors for obtaining accurate information for successful prediction. The approach is founded on approaches that accurately duplicate the real world use of the product. Their approach is based on two fundamental components needed for successful reliability prediction: first, the methodology necessary; and second, use of accelerated reliability and durability testing as a source of the necessary data. Applicable to all areas of engineering, this textbook details the newest techniques and tools to achieve successful reality prediction and testing. It demonstrates practical examples of the implementation of the approaches described. This book is a tool for engineers, managers, researchers, in industry, teachers, and students. The reader will learn the importance of the interactions of the influencing factors and the interconnections of safety and human factors in product prediction and testing.

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