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Residual life prediction and optimal...

Hu, Changhua.

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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 equipment/ by 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.
[NT 15003449]:	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.
Contained By:	Springer Nature eBook
Subject:	Industrial equipment - Maintenance and repair -
Online resource:	https://doi.org/10.1007/978-981-16-2267-0
ISBN:	9789811622670

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

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

3589985
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
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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 3589985
650 0 $a Maintainability (Engineering) $x Mathematical models. $3 3589986
650 1 4 $a Quality Control, Reliability, Safety and Risk. $3 891027
650 2 4 $a Computational Intelligence. $3 1001631
650 2 4 $a Calculus of Variations and Optimal Control; Optimization. $3 898674
650 2 4 $a Artificial Intelligence. $3 769149
700 1 $a Fan, Hongdong. $3 3589983
700 1 $a Wang, Zhaoqiang. $3 3589984
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773 0 $t Springer Nature eBook
856 4 0 $u https://doi.org/10.1007/978-981-16-2267-0
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