Toshio Nakagawa 
Advanced Reliability Models and Maintenance Policies [PDF ebook] 

Sokongan

Reliability theory is a major concern for engineers and managers engaged in making high quality products and designing highly reliable systems. “Advanced Reliability Models and Maintenance Policies” is a survey of new research topics in reliability theory and optimization techniques in reliability engineering. The book introduces partition and redundant problems within reliability models, and provides optimization techniques. The book also indicates how to perform maintenance in a finite time span and at failure detection, and to apply recovery techniques for computer systems. New themes such as reliability complexity and service reliability in reliability theory are theoretically proposed, and optimization problems in management science using reliability techniques are presented. The book is an essential guide for graduate students and researchers in reliability theory, and a valuable reference for reliability engineers engaged both in maintenance work and in management and computer systems.

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Jadual kandungan

Redundant Models.- Partition Policies.- Maintenance Policies for a Finite Interval.- Forward and Backward Times in Reliability Models.- Optimum Retrial Number of Reliability Models.- Optimum Checkpoint Intervals for Fault Detection.- Maintenance Models with Two Variables.- System Complexity and Entropy Models.- Management Models with Reliability Applications.

Mengenai Pengarang

Toshio Nakagawa is a Professor of Engineering at Aichi Institute of Technology, Japan. He is considered the world leader in maintenance reliability engineering and has worked in this area for thirty years. He has published more than a hundred research papers mainly on the subject of maintenance and reliability theory.

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Bahasa Inggeris ● Format PDF ● Halaman-halaman 246 ● ISBN 9781848002944 ● Saiz fail 2.2 MB ● Umur 02-99 tahun ● Penerbit Springer London ● Bandar raya London ● Negara GB ● Diterbitkan 2008 ● Muat turun 24 bulan ● Mata wang EUR ● ID 2151776 ● Salin perlindungan Social DRM

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