國立高雄大學圖資館 |

Language: English

Back

Residual life prediction and optimal maintenance decision for a piece of equipment

Record Type:	Electronic resources : Monograph/item
Title/Author:	Residual life prediction and optimal maintenance decision for a piece of equipmentby Changhua Hu, Hongdong Fan, Zhaoqiang Wang.
Author:	Hu, Changhua.
other author:	Fan, Hongdong.
Published:	Singapore :Springer Singapore :2022.
Description:	xv, 270 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Industrial equipmentMaintenance and repair
Online resource:	https://doi.org/10.1007/978-981-16-2267-0
ISBN:	9789811622670$q(electronic bk.)

Residual life prediction and optimal maintenance decision for a piece of equipment
Hu, Changhua.

Residual life prediction and optimal maintenance decision for a piece of equipment[electronic resource] /by Changhua Hu, Hongdong Fan, Zhaoqiang Wang. - Singapore :Springer Singapore :2022. - xv, 270 p. :ill., digital ;24 cm.

Introduction -- 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.

This 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.

ISBN: 9789811622670$q(electronic bk.)

Standard No.: 10.1007/978-981-16-2267-0doiSubjects--Topical Terms:

917375
Industrial equipment
--Maintenance and repair

LC Class. No.: TS192 / .H8 2022

Dewey Class. No.: 658.27

Residual life prediction and optimal maintenance decision for a piece of equipment
LDR:02670nmm a2200325 a 4500 001 617773
003 DE-He213
005 20210730121837.0
006 m d
007 cr nn 008maaau
008 221025s2022 si s 0 eng d
020 $a 9789811622670$q(electronic bk.)
020 $a 9789811622663$q(paper)
024 7 $a 10.1007/978-981-16-2267-0 $2 doi
035 $a 978-981-16-2267-0
040 $a GP $c GP
041 0 $a eng
050 4 $a TS192 $b .H8 2022
072 7 $a TGPR $2 bicssc
072 7 $a TEC032000 $2 bisacsh
072 7 $a TGPR $2 thema
082 0 4 $a 658.27 $2 23
090 $a TS192 $b .H874 2022
100 1 $a Hu, Changhua. $3 773112
245 1 0 $a Residual life prediction and optimal maintenance decision for a piece of equipment $h [electronic resource] / $c by Changhua Hu, Hongdong Fan, Zhaoqiang Wang.
260 $a Singapore : $b Springer Singapore : $b Imprint: Springer, $c 2022.
300 $a xv, 270 p. : $b ill., digital ; $c 24 cm.
505 0 $a Introduction -- 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 $a This 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 $a Industrial equipment $x Maintenance and repair $x Mathematical models. $3 917375
650 0 $a Maintainability (Engineering) $x Mathematical models. $3 917376
650 1 4 $a Quality Control, Reliability, Safety and Risk. $3 274011
650 2 4 $a Computational Intelligence. $3 338479
650 2 4 $a Calculus of Variations and Optimal Control; Optimization. $3 274198
650 2 4 $a Artificial Intelligence. $3 212515
700 1 $a Fan, Hongdong. $3 917373
700 1 $a Wang, Zhaoqiang. $3 917374
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer Nature eBook
856 4 0 $u https://doi.org/10.1007/978-981-16-2267-0
950 $a Engineering (SpringerNature-11647)