Conditional Residual Time Modelling Using Oil Analysis: A Mixed Condition Information Using Accumulated Metal Concentration and Lubricant Measurements

This paper reports on modelling decision problems associated with condition monitoring by providing some scientific support to maintenance decision making. In this study, a Spectrometric Oil Analysis Programme (SOAP) is used as monitoring measures for diesel engines used in ships. Using the residual...

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Main Authors: Wang, W., Hussin, B.
Format: Conference or Workshop Item
Language:English
Published: 2006
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Online Access:http://eprints.utem.edu.my/id/eprint/173/1/ICME2006_Proceedings_Mixed_Information_for_Oil_Analysis.pdf
http://eprints.utem.edu.my/id/eprint/173/
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Institution: Universiti Teknikal Malaysia Melaka
Language: English
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spelling my.utem.eprints.1732015-05-28T02:17:06Z http://eprints.utem.edu.my/id/eprint/173/ Conditional Residual Time Modelling Using Oil Analysis: A Mixed Condition Information Using Accumulated Metal Concentration and Lubricant Measurements Wang, W. Hussin, B. Q Science (General) This paper reports on modelling decision problems associated with condition monitoring by providing some scientific support to maintenance decision making. In this study, a Spectrometric Oil Analysis Programme (SOAP) is used as monitoring measures for diesel engines used in ships. Using the residual time at a monitoring check as the condition of the diesel engines, we seek to establish the relationship between the residual time and the total wear concentrations which are available from SOAP data. These metal concentrations are treated as concomittent variables which are influenced by the residual time. We also used lubricant measurements data acting as covariates that may increase/decrease the residual time. The formula for finding a residual time distribution is presented using a filtering technique and a method for estimating the model parameters is discussed. Once the distribution of the residual time is known, a decision model can be established to recommend the optimal maintenance actions in terms of cost, availability or any criterion of interest. 2006 Conference or Workshop Item PeerReviewed application/pdf en http://eprints.utem.edu.my/id/eprint/173/1/ICME2006_Proceedings_Mixed_Information_for_Oil_Analysis.pdf Wang, W. and Hussin, B. (2006) Conditional Residual Time Modelling Using Oil Analysis: A Mixed Condition Information Using Accumulated Metal Concentration and Lubricant Measurements. In: International Conference on Maintenance Engineering, ICME2006 , October 15-18, 2006, ChengDu, China.
institution Universiti Teknikal Malaysia Melaka
building UTEM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknikal Malaysia Melaka
content_source UTEM Institutional Repository
url_provider http://eprints.utem.edu.my/
language English
topic Q Science (General)
spellingShingle Q Science (General)
Wang, W.
Hussin, B.
Conditional Residual Time Modelling Using Oil Analysis: A Mixed Condition Information Using Accumulated Metal Concentration and Lubricant Measurements
description This paper reports on modelling decision problems associated with condition monitoring by providing some scientific support to maintenance decision making. In this study, a Spectrometric Oil Analysis Programme (SOAP) is used as monitoring measures for diesel engines used in ships. Using the residual time at a monitoring check as the condition of the diesel engines, we seek to establish the relationship between the residual time and the total wear concentrations which are available from SOAP data. These metal concentrations are treated as concomittent variables which are influenced by the residual time. We also used lubricant measurements data acting as covariates that may increase/decrease the residual time. The formula for finding a residual time distribution is presented using a filtering technique and a method for estimating the model parameters is discussed. Once the distribution of the residual time is known, a decision model can be established to recommend the optimal maintenance actions in terms of cost, availability or any criterion of interest.
format Conference or Workshop Item
author Wang, W.
Hussin, B.
author_facet Wang, W.
Hussin, B.
author_sort Wang, W.
title Conditional Residual Time Modelling Using Oil Analysis: A Mixed Condition Information Using Accumulated Metal Concentration and Lubricant Measurements
title_short Conditional Residual Time Modelling Using Oil Analysis: A Mixed Condition Information Using Accumulated Metal Concentration and Lubricant Measurements
title_full Conditional Residual Time Modelling Using Oil Analysis: A Mixed Condition Information Using Accumulated Metal Concentration and Lubricant Measurements
title_fullStr Conditional Residual Time Modelling Using Oil Analysis: A Mixed Condition Information Using Accumulated Metal Concentration and Lubricant Measurements
title_full_unstemmed Conditional Residual Time Modelling Using Oil Analysis: A Mixed Condition Information Using Accumulated Metal Concentration and Lubricant Measurements
title_sort conditional residual time modelling using oil analysis: a mixed condition information using accumulated metal concentration and lubricant measurements
publishDate 2006
url http://eprints.utem.edu.my/id/eprint/173/1/ICME2006_Proceedings_Mixed_Information_for_Oil_Analysis.pdf
http://eprints.utem.edu.my/id/eprint/173/
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