東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Risk-based maintenance for electrici...

Mehairjan, Ravish Preshant Yashraj.

Linked to FindBook

Google Book

Amazon

博客來

Risk-based maintenance for electricity network organizations

Record Type:	Electronic resources : Monograph/item
Title/Author:	Risk-based maintenance for electricity network organizations/ by Ravish Preshant Yashraj Mehairjan.
Author:	Mehairjan, Ravish Preshant Yashraj.
Published:	Cham :Springer International Publishing : : 2017.,
Description:	xxi, 155 p. :ill., digital ;24 cm.
[NT 15003449]:	Introduction -- Asset, Risk & Maintenance Management -- Organisation-Wide Maintenance Improvement Framework -- Risk Linked Reliability Centered Maintenance Management Model -- Statistical-Based Computational Tools for Maintenance Management -- Condition Monitoring Framework for Maintenance Management -- Conclusions & Recommendations -- Appendices.
Contained By:	Springer eBooks
Subject:	Electric power systems. -
Online resource:	http://dx.doi.org/10.1007/978-3-319-49235-3
ISBN:	9783319492353

Risk-based maintenance for electricity network organizations
Mehairjan, Ravish Preshant Yashraj.

Risk-based maintenance for electricity network organizations[electronic resource] /by Ravish Preshant Yashraj Mehairjan. - Cham :Springer International Publishing :2017. - xxi, 155 p. :ill., digital ;24 cm.

Introduction -- Asset, Risk & Maintenance Management -- Organisation-Wide Maintenance Improvement Framework -- Risk Linked Reliability Centered Maintenance Management Model -- Statistical-Based Computational Tools for Maintenance Management -- Condition Monitoring Framework for Maintenance Management -- Conclusions & Recommendations -- Appendices.

This book focuses on the introduction of new and modern maintenance management frameworks of assets in the electricity & gas network sector and more specifically, on electricity networks for distribution. The author describes methodologies for developing and implementing maintenance management maturity models, using case studies to show how these have been applied. These maturity models are discussed as part of an overarching, multi-disciplinary organizational maintenance management professionalization framework. This book adds a new dimension to the well-known Reliability Centered Maintenance (RCM) method, by incorporating failure modes via multiple scenarios into business values, by means of statistical risk calculation methods. The author demonstrates a method called Utility Risk Linked RCM, which uses a statistical tool to develop failure models which can be used to predict future failure behavior of assets in relation to corporate business values. This new method is a practical, structured and comprehensive framework for assessing risk based maintenance policies. The book also proposes a condition monitoring framework that can be used as a guide to assist asset managers in identifying the relationship between failure modes, ageing processes to select amongst condition monitoring regimes.

ISBN: 9783319492353

Standard No.: 10.1007/978-3-319-49235-3doiSubjects--Topical Terms:

649380
Electric power systems.

LC Class. No.: TK1005 / .M44 2017

Dewey Class. No.: 621.319

Risk-based maintenance for electricity network organizations
LDR:02639nmm a2200325 a 4500 001 2089143
003 DE-He213
005 20161224134452.0
006 m d
007 cr nn 008maaau
008 171013s2017 gw s 0 eng d
020 $a 9783319492353 $q (electronic bk.)
020 $a 9783319492346 $q (paper)
024 7 $a 10.1007/978-3-319-49235-3 $2 doi
035 $a 978-3-319-49235-3
040 $a GP $c GP
041 0 $a eng
050 4 $a TK1005 $b .M44 2017
072 7 $a TH $2 bicssc
072 7 $a KNB $2 bicssc
072 7 $a BUS070040 $2 bisacsh
082 0 4 $a 621.319 $2 23
090 $a TK1005 $b .M498 2017
100 1 $a Mehairjan, Ravish Preshant Yashraj. $3 3219489
245 1 0 $a Risk-based maintenance for electricity network organizations $h [electronic resource] / $c by Ravish Preshant Yashraj Mehairjan.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2017.
300 $a xxi, 155 p. : $b ill., digital ; $c 24 cm.
505 0 $a Introduction -- Asset, Risk & Maintenance Management -- Organisation-Wide Maintenance Improvement Framework -- Risk Linked Reliability Centered Maintenance Management Model -- Statistical-Based Computational Tools for Maintenance Management -- Condition Monitoring Framework for Maintenance Management -- Conclusions & Recommendations -- Appendices.
520 $a This book focuses on the introduction of new and modern maintenance management frameworks of assets in the electricity & gas network sector and more specifically, on electricity networks for distribution. The author describes methodologies for developing and implementing maintenance management maturity models, using case studies to show how these have been applied. These maturity models are discussed as part of an overarching, multi-disciplinary organizational maintenance management professionalization framework. This book adds a new dimension to the well-known Reliability Centered Maintenance (RCM) method, by incorporating failure modes via multiple scenarios into business values, by means of statistical risk calculation methods. The author demonstrates a method called Utility Risk Linked RCM, which uses a statistical tool to develop failure models which can be used to predict future failure behavior of assets in relation to corporate business values. This new method is a practical, structured and comprehensive framework for assessing risk based maintenance policies. The book also proposes a condition monitoring framework that can be used as a guide to assist asset managers in identifying the relationship between failure modes, ageing processes to select amongst condition monitoring regimes.
650 0 $a Electric power systems. $3 649380
650 0 $a Energy policy. $3 539097
650 0 $a Energy security. $3 2004290
650 0 $a Industrial safety. $3 624802
650 0 $a Quality control. $3 576298
650 0 $a Reliability. $3 536252
650 1 4 $a Energy. $3 876794
650 2 4 $a Energy Policy, Economics and Management. $3 1532761
650 2 4 $a Quality Control, Reliability, Safety and Risk. $3 891027
650 2 4 $a Energy Systems. $3 1530445
650 2 4 $a Energy Security. $3 2194747
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer eBooks
856 4 0 $u http://dx.doi.org/10.1007/978-3-319-49235-3
950 $a Energy (Springer-40367)