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Sách Prediction Technologies for Improving Engineering Product Efficiency

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Sách Prediction Technologies for Improving Engineering Product Efficiency

Sách Prediction Technologies for Improving Engineering Product Efficiency (sách keo gáy, bìa mềm)
 
Categories:Engineering - Engineering Technology
 
Year:2023
 
Language:english
 
Pages: 281
 
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…