000			03569nam a2200397 a 4500
001			0000173621
005			20171002063805.0
006			m o u
007			cr cn|||||||||
008			130617s2014 enkad sb 001 0 eng d
010			_z 2013025347
020			_z9781118539422 (hardback)
020			_z9781118701942 (e-book)
035			_a(CaPaEBR)ebr10753410
035			_a(OCoLC)849801368
040			_aCaPaEBR _cCaPaEBR
050	1	4	_aTA169 _b.A68 2014eb
082	0	4	_a620/.00452 _223
245	0	0	_aApplied reliability engineering and risk analysis _h[electronic resource] : _bprobabilistic models and statistical inference / _ceditors, Ilia B. Frenkel ... [et al.].
250			_a1st ed.
260			_aChichester, West Sussex : _bJohn Wiley & Sons Inc., _c2014.
300			_axxxiii, 413 p. : _bill. (some col.).
490	1		_aWiley series in quality & reliability engineering
504			_aIncludes bibliographical references and index.
505	0		_apt. I. Degradation analysis, multi-state and continuous-state system reliability -- pt. II. Networks and large-scale systems -- pt. III. Maintenance models -- pt. IV. Statistical inference in reliability -- pt. V. Systemability, physics-of-failure and reliability demonstration.
520			_a"This book presents the latest developments in the field of reliability science focusing on applied reliability, probabilistic models and risk analysis. It provides readers with the most up-to-date developments in this field and consolidates research activities in several areas of applied reliability engineering. The publication is timed to commemorate Boris Gnedenko's centennial by bringing together leading researchers, scientists, and practitioners in the field of Prof. Gnednko's expertise. The Introduction, written by Prof. Igor Ushakov, a personal friend and a colleague of Boris Gnedenko, explains the significant impact and contribution Gnedenko's work made on the reliability theory and the modern reliability practice. The book covers conventional and contemporary (recently emerged) topics in reliability science, which have seen extended research activities in the recent years. These topics include: degradation analysis and multi-state system reliability; networks and large scale systems; maintenance models; statistical inference in reliability, and; physics of failures and reliability demonstration. All of these topics present a great interest to researchers and practitioners, having been extensively researched in the past years and covered at a large number of international conferences and in a multitude of journal articles. This book pulls together this information with a coherent flow of chapters, and is written by the lead scientists, researchers and practitioners in their respective fields. Logically divided into five sections, each contains several chapters covering theoretical and practical issues, while case studies support the topics under discussion"-- _cProvided by publisher.
533			_aElectronic reproduction. _bPalo Alto, Calif. : _cebrary, _d2013. _nAvailable via World Wide Web. _nAccess may be limited to ebrary affiliated libraries.
650		0	_aReliability (Engineering)
650		0	_aRisk assessment _xMathematical models.
655		7	_aElectronic books. _2local
700	1		_aFrenkel, Ilia, _cPh.D.
710	2		_aebrary, Inc.
830		0	_aWiley series in quality and reliability engineering.
856	4	0	_uhttp://site.ebrary.com/lib/daystar/Doc?id=10753410 _zAn electronic book accessible through the World Wide Web; click to view
908			_a170314
942	0	0	_cEB
999			_c162762 _d162762