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Prediction Technologies for Improving Engineering Product Efficiency

Idioma InglésInglés
Libro Tapa blanda
Libro Prediction Technologies for Improving Engineering Product Efficiency Lev M. Klyatis
Código Libristo: 44590128
Editores Springer, Berlin, noviembre 2023
This book is aimed at readers who need to learn the latest solutions for interconnected simulation,... Descripción completa
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This book is aimed at readers who need to learn the latest solutions for interconnected simulation, testing, and prediction technologies that improve engineering product efficiency, including reliability, safety, quality, durability, maintainability, life-cycle costing and profit. It provides a detailed analysis of technologies now being used in industries such as electronics, automotive, aircraft, aerospace, off-highway, farm machinery, and others. It includes clear examples, charts, and illustrations. This book provides analyses of the simulation, testing, and prediction approaches and methodologies with descriptive, negative trends in their development. The author discusses why many current methods of simulation, testing, and prediction are not successful and describes novel techniques and tools developed for eliminating these problems.  This book is a tool for engineers, managers, researches in industry, teachers, and students.       Lev Klyatis, Hab. Dr.-Ing., ScD., PhD, Senior Advisor SoHaR, Inc., has been a professor at Moscow State Agricultural Engineering University, research leader and chairman of State Enterprise TESTMASH, and served on the US Technical Advisory Group for the International Electrotechnical Commission (IEC), the ISO/IEC Join Study Group in Safety Aspects of Risk Assessment, the United Nations European Economical Commission, and US-USSR Trade and Economic Council. He is presently a member of World Quality Council, the Elmer A. Sperry Board of Award, SAE International G-41 Reliability Committee, the Integrated Design and Manufacturing Committee and session chairman of SAE International World Congresses in Detroit since 2012. His vast experience and innovation enable him to create a new direction for the successful prediction of product efficiency during any given time, including accurate simulation of real-world conditions, accelerated reliability and durability testing technology, and reducing recalls. His approach has been verified in various industries, primarily automotive, farm machinery, aerospace, and aircraft industries. He has shared his new direction working as the seminar instructor and consultant to Ford, DaimlerChrysler, Nissan, Toyota, Jatko Ltd., Thermo King, Black an Dekker, NASA Research Centers, Karl Schenck, and many others.  He holds over 30 patents worldwide and is the author of over 300 publications, including 15 books. 

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Nombre y apellidos Prediction Technologies for Improving Engineering Product Efficiency
Idioma Inglés
Encuadernación Libro - Tapa blanda
Fecha de publicación 2024
Número de páginas 265
EAN 9783031166570
Código Libristo 44590128
Editores Springer, Berlin
Peso 408
Dimensiones 155 x 235
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