Statistical Reliability Engineering : Methods, Models and Applications

Hoang Pham

ISBN 10: 3030769062 / ISBN 13: 9783030769062

Published by Springer International Publishing, 2022

About this Item

Druck auf Anfrage Neuware - Printed after ordering - This book presents the state-of-the-art methodology and detailed analytical models and methods used to assess the reliability of complex systems and related applications in statistical reliability engineering. It is a textbook based mainly on the author's recent research and publications as well as experience of over 30 years in this field.The book covers a wide range of methods and models in reliability, and their applications, including: statistical methods and model selection for machine learning; models for maintenance and software reliability; statistical reliability estimation of complex systems; and statistical reliability analysis of k out of n systems, standby systems and repairable systems. Offering numerous examples and solved problems within each chapter, this comprehensive text provides an introduction to reliability engineering graduate students, a reference for data scientists and reliability engineers, and a thorough guide for researchers and instructors in the field.

Seller Inventory # 9783030769062

Bibliographic Details

• Title: Statistical Reliability Engineering : Methods, Models and Applications
• Publisher: Springer International Publishing
• Publication Date: 2022
• Language: English
• ISBN 10: 3030769062
• ISBN 13: 9783030769062
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 235W x 155H x 28D millimeters 235 millimeters width by 155 millimeters height by 28 millimeters depth
• Weight: 779 grams

About this title

Synopsis

This book presents the state-of-the-art methodology and detailed analytical models and methods used to assess the reliability of complex systems and related applications in statistical reliability engineering. It is a textbook based mainly on the author’s recent research and publications as well as experience of over 30 years in this field.

The book covers a wide range of methods and models in reliability, and their applications, including:

• statistical methods and model selection for machine learning; 
• models for maintenance and software reliability; 
statistical reliability estimation of complex systems; and
• statistical reliability analysis of k out of n systems, standby systems and repairable systems.

Offering numerous examples and solved problems within each chapter, this comprehensive text provides an introduction to reliability engineering graduate students, a reference for data scientists and reliability engineers, and a thorough guide for researchers and instructors in the field.

About the Author

Dr. Hoang Pham is Distinguished Professor and former Chairman (2007-2013) of the Department of Industrial and Systems Engineering at Rutgers University, New Jersey. Before joining Rutgers, he was Senior Engineering Specialist with the Boeing Company and the Idaho National Engineering Laboratory. He has been served as Editor-in-Chief, Editor, Associate Editor, Guest Editor and Board Member of many journals. He is Editor of Springer Book Series in Reliability Engineering and has served as Conference Chair and Program Chair of over 40 international conferences. He is the author or coauthor of 8 books and has published over 200 journal articles, 100 conference papers and edited 17 books including Springer Handbook in Engineering Statistics and Handbook in Reliability Engineering. He has delivered over 40 invited keynote and plenary speeches at many international conferences and institutions.

His numerous awards include the 2009 IEEE Reliability Society Engineer of theYear Award. He is Fellow of the Institute of Electrical and Electronics Engineers (IEEE) and the Institute of Industrial Engineers (IIE).