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 reliabilityprediction 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.
O autorze
LEV M. KLYATIS, HAB. DR-ING., SCD, PHD, is a Senior Advisor at So Ha R, Inc.and the author of Accelerated Reliability and Durability Testing Technology. His vast experience and innovations enabled him to create and implement a new direction for the solution of reliability and other components of performance problems. He holds over thirty patents worldwide, and is the author of hundreds of publications.
EDWARD L. ANDERSON, P.E. Ed has over 35 years experience with the Port Authority of NY & NJ as an Automotive Engineer. He is a graduate of Newark College of Engineering with a B.S. in Mechanical Engineering; a Master’s Degree in Health and Safety Engineering; and, and a Post Master’s Certificate from Dowling College in Total Quality Management. He is a Professional Engineer and is active in SAE International and the Elmer A Sperry Board of Award.
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