000			04772cam a22005778i 4500
001			on1198086242
003			OCoLC
005			20220711203614.0
006			m d u
007			cr |||||||||||
008			200917s2020 nju ob 001 0 eng
010			_a 2020039219
040			_aDLC _beng _erda _cDLC _dOCLCO _dDG1 _dOCLCF
020			_a9781119526582 _q(electronic bk. : oBook)
020			_a1119526582 _q(electronic bk. : oBook)
020			_a9781119526537 _q(epub)
020			_a1119526531 _q(epub)
020			_a9781119526568 _q(adobe pdf)
020			_a1119526566 _q(adobe pdf)
020			_z9781119526278 _q(cloth)
035			_a(OCoLC)1198086242
042			_apcc
050	0	0	_aQA402
082	0	0	_a620/.00452 _223
049			_aMAIN
100	1		_aRai, Rajiv Nandan, _eauthor. _99215
245	1	0	_aRepairable systems reliability analysis : _ba comprehensive framework / _cRajiv Nandan Rai, Sanjay Kumar Chaturvedi, Nomesh Bolia.
263			_a2011
264		1	_aHoboken, NJ : _bWiley-Scrivener, _c2020.
300			_a1 online resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bn _2rdamedia
338			_aonline resource _bnc _2rdacarrier
490	1		_aPerformability engineering series
504			_aIncludes bibliographical references and index.
520			_a"Most of the reliability literature is directed towards non repairable systems, that is, systems that fail are discarded. This book is mainly dedicated towards providing coverage to the reliability modeling and analysis of repairable systems that are repaired and not replaced when they fail. Most of the equipment - mechanical or otherwise -are repairable and are subjected to maintenance actions- reactive or proactive- at various levels. Maintenance actions are carried out either to preserve a system or to renovate it to a specified functionable state. Maintenance actions are also characterized by the degree (perfect or imperfect) to which a system can be restored, i.e., to an 'as good as new condition' (AGAN), or 'as bad as old condition' (ABAO). Mathematically perfect repair is modeled using a renewal process (RP). Since it represents much idealized situation, this model has restricted applications in the analysis of repairable systems. At the other extreme, the ABAO repair is mathematically modelled using a Non-Homogenous Poisson Process (NHPP). These assumptions are very unrealistic for probabilistic modeling and leads to major distortions in statistical analysis. This unique book provides a comprehensive framework for the modeling and analysis of repairable systems considering both the non- parametric and parametric approaches to deal with the failure data. The book presents MCF based non-parametric approach with several illustrative examples and the generalized renewal process (GRP) based arithmetic reduction of age (ARA) models along with its applications to the systems failure data from aviation industry. The book also covers various multi-criteria decision-making (MCDM), integrated with repairable systems reliability analysis models to provide a much better insight into imperfect repair and maintenance data analysis. A complete chapter on an integrated framework for procurement process is added which will of a great assistance to the readers in enhancing the potential of their respective organization. This book also presents FMEA methods tailored for GRP based repairs. This text has primarily emerged from the industrial experience and research work of the authors. A number of illustrations have been included to make the subject lucid and vivid even to the readers who are relatively new to this area. Besides, various examples have been provided to display the applicability of presented models and methodologies to assist the readers in applying the concepts presented in this book."-- _cProvided by publisher.
588			_aDescription based on print version record and CIP data provided by publisher; resource not viewed.
590			_aJohn Wiley and Sons _bWiley Frontlist Obook All English 2020
650		0	_aSystem analysis. _93242
650		0	_aReliability (Engineering) _93395
650		7	_aReliability (Engineering) _2fast _0(OCoLC)fst01093646 _93395
650		7	_aSystem analysis. _2fast _0(OCoLC)fst01141385 _93242
655		4	_aElectronic books. _93294
700	1		_aChaturvedi, Sanjay Kumar, _eauthor. _99216
700	1		_aBolia, Nomesh, _eauthor. _99217
776	0	8	_iPrint version: _aRai, Rajiv Nandan. _tRepairable systems reliability analysis _dHoboken, NJ : Wiley-Scrivener, 2020. _z9781119526278 _w(DLC) 2020039218
830		0	_aPerformability engineering series. _99218
856	4	0	_uhttps://doi.org/10.1002/9781119526582 _zWiley Online Library
942			_cEBK
994			_a92 _bDG1
999			_c69324 _d69324