Risk-Based Maintenance for Electricity Network Organizations (Hardcover, 1st ed. 2017)

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.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Release date:	2017
First published:	2017
Authors:	Ravish Preshant Yashraj Mehairjan
Dimensions:	235 x 155 x 11mm (L x W x T)
Format:	Hardcover
Pages:	155
Edition:	1st ed. 2017
ISBN-13:	978-3-319-49234-6
Categories:	Books > Earth & environment > The environment > Management of land & natural resources Books > Business & Economics > Industry & industrial studies > Energy industries & utilities > General Books > Professional & Technical > Mechanical engineering & materials > Production engineering > Reliability engineering Books > Professional & Technical > Energy technology & engineering > Electrical engineering > General Promotions
LSN:	3-319-49234-9
Barcode:	9783319492346

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