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Statistical Reliability Engineering de Hoang Pham

Statistical Reliability Engineering: Springer Series in Reliability Engineering

Autor Hoang Pham
en Limba Engleză Hardback – 15 aug 2021
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.
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Specificații

ISBN-13: 9783030769031
ISBN-10: 3030769038
Pagini: 520
Ilustrații: XX, 497 p. 54 illus.
Dimensiuni: 160 x 241 x 34 mm
Greutate: 0.89 kg
Ediția:1st ed. 2022
Editura: Springer
Colecția Springer Series in Reliability Engineering
Seria Springer Series in Reliability Engineering

Locul publicării:Cham, Switzerland

Cuprins

Probability, Statistics, and Reliability Concepts.- Distribution Functions and Its Applications.- Statistical Parameter Estimation.- System Reliability Modeling.- Order Statistics and Reliability Estimation.- Stochastic Processes.- Maintenance Modeling.- Software Reliability.- Statistical Machine Learning Methods and Its Applications.

Notă biografică

Dr Riccardo Manzini is a professor of Logistics and Reliability & Maintenance in the Department of Industrial and Mechanical Engineering at the University of Bologna, Italy. His academic research principally deals with planning, design and control of production systems with particular reference to reliability modelling and maintenance system management and optimisation. He has carried out several research projects in co-operation with - and funded by - private and public companies on logistics, industrial plants and maintenance problems. He is the author of about 70 published papers on production systems, logistics and reliability, and a referee of several ISI journals. Dr Alberto Regattieri is a professor in the Department of Industrial and Mechanical Engineering at the University of Bologna, Italy. He received his PhD from Parma University. His current research interests include the optimal design of complex production systems; reliability modelling of production systems; and the maintenance of industrial plants. In 2005 he received the Williamson Award Emerald Literati Club for his studies. He has authored or co-authored several books and over 70 technical publications. He manages a Masters course in Maintenance Engineering at the University of Bologna and has carried out several research projects in co-operation with - and funded by - large private and public companies on maintenance problems in Italy. Dr Hoang Pham is a professor in the Department of Industrial and Systems Engineering at Rutgers University, Piscataway. Before joining Rutgers, he was a senior engineering specialist at the Boeing Company and the Idaho National Engineering Laboratory. His current research includes system reliability modelling; maintenance; and environmental risk assessment. He is the author of three textbooks, 30 book chapters and has published more than 150 papers. He is the editor of two handbooks and morethan 10 books; the editor-in-chief of the International Journal of Reliability, Quality and Safety Engineering; associate editor of the IEEE Transactions on Systems, Man and Cybernetics Part A; editor of Springer Series in Reliability Engineering; and a fellow of the IEEE. Dr Emilio Ferrari is a full professor in industrial logistics in the Department of Industrial and Mechanical Engineering at the University of Bologna. His current research mostly includes industrial logistics and industrial plants maintenance, design and management. He is the author of more than 70 publications. At the Faculty of Engineering he is currently chairman of the undergraduate course in Engineering and Management, director of the Masters degree in Integrated Logistics, director of the international summer school Francesco Turco and director of the Department of Industrial and Mechanical Engineering.

Textul de pe ultima copertă

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.

Caracteristici

Presents a thorough guide to analytical methods used to assess the reliability of complex systems Discusses various applications for the models, including in machine learning, standby systems, and software Provides numerous problems, solutions, and examples for each chapter