Reliability monitoring techniques applied to a hot strip steel mill

Reliability engineering techniques have been used in the manufacturing environment for many years. However the reliability analysis of repairable systems is not so widely practised in the steel manufacturing environment. Many different analysis methods have been proposed for the modelling of repaira...

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Main Author: Owen, Robert
Published: Cardiff University 2011
Subjects:
670
Online Access:http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.567218
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spelling ndltd-bl.uk-oai-ethos.bl.uk-5672182015-03-20T03:21:53ZReliability monitoring techniques applied to a hot strip steel millOwen, Robert2011Reliability engineering techniques have been used in the manufacturing environment for many years. However the reliability analysis of repairable systems is not so widely practised in the steel manufacturing environment. Many different analysis methods have been proposed for the modelling of repairable systems, most of these have had limited application in the manufacturing environment. The current reliability analysis techniques are predominantly used by engineers to construct a “snapshot” in time of a manufacturing system’s reliability status. There are no readily identifiable applications of reliability modelling techniques being applied to repairable systems over a long time period within the manufacturing environment The aim of this work is to construct a method which can analyse and monitor the reliability status of multiple repairable systems within the steel plant over an extended operating period. The developed analysis method is predominantly automated and is facilitated by applying standard reliability analysis techniques to all of the repairable systems failure data sets under review. This Thesis illuminates the methodology used to fulfil the remit of this research by the following sequential steps: Developing a new methodology for the application of reliability analysis techniques to repairable systems within a steel manufacturing facility Utilised an innovative step of combining three reliability analysis methods as complimentary activities Constructed an automated reliability analysis model which fulfils the project remit. In addition the model is capable of the long term monitoring of repairable system reliability The new reliability analysis method has been delivered to Tata Steel and is installed in the Port Talbot Technology Group with a direct link to the Hot Strip Mill (HSM) monitoring database. This reliability analysis method has been tested with four years operational data from the Hot Strip Mill manufacturing area and the analysis has shown that changes and trends in all systems reliability status can be easily identified.670TS ManufacturesCardiff Universityhttp://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.567218http://orca.cf.ac.uk/25646/Electronic Thesis or Dissertation
collection NDLTD
sources NDLTD
topic 670
TS Manufactures
spellingShingle 670
TS Manufactures
Owen, Robert
Reliability monitoring techniques applied to a hot strip steel mill
description Reliability engineering techniques have been used in the manufacturing environment for many years. However the reliability analysis of repairable systems is not so widely practised in the steel manufacturing environment. Many different analysis methods have been proposed for the modelling of repairable systems, most of these have had limited application in the manufacturing environment. The current reliability analysis techniques are predominantly used by engineers to construct a “snapshot” in time of a manufacturing system’s reliability status. There are no readily identifiable applications of reliability modelling techniques being applied to repairable systems over a long time period within the manufacturing environment The aim of this work is to construct a method which can analyse and monitor the reliability status of multiple repairable systems within the steel plant over an extended operating period. The developed analysis method is predominantly automated and is facilitated by applying standard reliability analysis techniques to all of the repairable systems failure data sets under review. This Thesis illuminates the methodology used to fulfil the remit of this research by the following sequential steps: Developing a new methodology for the application of reliability analysis techniques to repairable systems within a steel manufacturing facility Utilised an innovative step of combining three reliability analysis methods as complimentary activities Constructed an automated reliability analysis model which fulfils the project remit. In addition the model is capable of the long term monitoring of repairable system reliability The new reliability analysis method has been delivered to Tata Steel and is installed in the Port Talbot Technology Group with a direct link to the Hot Strip Mill (HSM) monitoring database. This reliability analysis method has been tested with four years operational data from the Hot Strip Mill manufacturing area and the analysis has shown that changes and trends in all systems reliability status can be easily identified.
author Owen, Robert
author_facet Owen, Robert
author_sort Owen, Robert
title Reliability monitoring techniques applied to a hot strip steel mill
title_short Reliability monitoring techniques applied to a hot strip steel mill
title_full Reliability monitoring techniques applied to a hot strip steel mill
title_fullStr Reliability monitoring techniques applied to a hot strip steel mill
title_full_unstemmed Reliability monitoring techniques applied to a hot strip steel mill
title_sort reliability monitoring techniques applied to a hot strip steel mill
publisher Cardiff University
publishDate 2011
url http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.567218
work_keys_str_mv AT owenrobert reliabilitymonitoringtechniquesappliedtoahotstripsteelmill
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