000			03773nam a22005655i 4500
999			_c200457352 _d75564
003			TR-AnTOB
005			20231124094741.0
007			cr nn 008mamaa
008			210730s2022 si | s |||| 0|eng d
020			_a9789811622670
024	7		_a10.1007/978-981-16-2267-0 _2doi
040			_aTR-AnTOB _beng _erda _cTR-AnTOB
041			_aeng
050		4	_aTS192
072		7	_aTNKS _2bicssc
072		7	_aTEC032000 _2bisacsh
072		7	_aTNKS _2thema
090			_aTS192EBK
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 _h[electronic resource] / _cby Changhua Hu, Hongdong Fan, Zhaoqiang Wang.
250			_a1st ed. 2022.
264		1	_aSingapore : _bSpringer Nature Singapore : _bImprint: Springer, _c2022.
300			_a1 online resource
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _bPDF _2rda
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.
650		0	_aSecurity systems.
650		0	_aComputational intelligence.
650		0	_aMathematical optimization.
650		0	_aCalculus of variations.
650		0	_aArtificial intelligence.
650	1	4	_aSecurity Science and Technology.
650	2	4	_aComputational Intelligence.
650	2	4	_aCalculus of Variations and Optimization.
650	2	4	_aArtificial Intelligence.
653		0	_aIndustrial equipment -- Maintenance and repair -- Mathematical models
653		0	_aMaintainability (Engineering) -- Mathematical models
700	1		_aFan, Hongdong. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut
700	1		_aWang, Zhaoqiang. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut
710	2		_aSpringerLink (Online service)
856	4	0	_uhttps://doi.org/10.1007/978-981-16-2267-0 _3Springer eBooks _zOnline access link to the resource
942			_2lcc _cEBK