000			03117nam a22003615i 4500
001			395213
003			ES-MaUEC
005			20230110120132.0
007			cr nn 008mamaa
008			210730s2022 si | s |||| 0|eng d
020			_a9789811622670
024	7		_a10.1007/978-981-16-2267-0 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC
100	1		_aHu, Changhua. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut
245	1	0	_aResidual Life Prediction and Optimal Maintenance Decision for a Piece of Equipment _cby Changhua Hu, Hongdong Fan, Zhaoqiang Wang.
250			_a1st edition 2022
264		1	_aSingapore _bSpringer International Publishing _c2022
300			_a1 recurso en línea (XV, 270 páginas) _b67 ilustraciones, 36 ilustraciones a color
336			_atexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
347			_aarchivo de texto _bPDF
505	0		_aIntroduction -- Degradation modelling and remaining useful life estimation based on a nonlinear diffusion process -- Degradation modelling and remaining useful life estimation based on a Wiener process with change points -- Residual life prediction based on an inverse-Gaussian process -- Degradation modelling and remaining useful life prediction with support vector machines -- Degradation modelling and remaining useful life estimation based on a relative vector machine fuzzy model -- Performance degradation modelling and reliability prediction based on evidential reasoning approach -- Residual life prediction based on a weight selected particle filter -- Optimal inspection policy based on predicted life information for a deteriorating equipment -- Cooperative predictive maintenance of repairable systems with dependent failure modes and resource constraint.
520			_aThis book addresses remaining life prediction and predictive maintenance of equipment. It systematically summarizes the key research findings made by the author and his team and focuses on how to create equipment performance degradation and residual life prediction models based on the performance monitoring data produced by currently used and historical equipment. Some of the theoretical results covered here have been used to make remaining life predictions and maintenance-related decisions for aerospace products such as gyros and platforms. Given its scope, the book offers a valuable reference guide for those pursuing theoretical or applied research in the areas of fault diagnosis and fault-tolerant control, remaining life prediction, and maintenance decision-making.
776	0	8	_iPrinted edition: _z9789811622663
776	0	8	_iPrinted edition: _z9789811622687
776	0	8	_iPrinted edition: _z9789811622694
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-981-16-2267-0 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
988			_aSpringer_Engineering_2022
999			_c395213 _d395213