Plant residual time modelling based on observed variables in oil samples

This paper presents a model and methodology for estimating the residual time of a plant item. This plant item can be an engine or any complex technical system monitored by a regularly spaced oil analysis programme. Typically in the oil samples taken, two groups of observed variables are available, n...

Full description

Bibliographic Details
Main Authors: Wang, W., Hussin, B.
Format: Article
Published: Palgrave Macmillan 2009
Subjects:
Online Access:http://eprints.utem.edu.my/id/eprint/172/
_version_ 1848886897004249088
author Wang, W.
Hussin, B.
author_facet Wang, W.
Hussin, B.
author_sort Wang, W.
building UTeM Institutional Repository
collection Online Access
description This paper presents a model and methodology for estimating the residual time of a plant item. This plant item can be an engine or any complex technical system monitored by a regularly spaced oil analysis programme. Typically in the oil samples taken, two groups of observed variables are available, namely, metal concentrations and variables related to the condition of the lubricant and contaminants. We term the former as internal variables and the latter as external variables. External variables are those that may cause the change of the underlying condition of the plant item and therefore the residual time, while internal variables are those variables that only reflect the residual time but cannot change it. We modelled both variables in an oil-based monitoring case, but the principle can be generalized to other monitoring situations. The main techniques used are stochastic filtering for residual time prediction and the maximum likelihood method for parameters estimation. The model established was fitted to the real data of marine diesel engines monitored by an oil analysis programme and the results are presented.
first_indexed 2025-11-15T19:45:47Z
format Article
id utem-172
institution Universiti Teknikal Malaysia Melaka
institution_category Local University
last_indexed 2025-11-15T19:45:47Z
publishDate 2009
publisher Palgrave Macmillan
recordtype eprints
repository_type Digital Repository
spelling utem-1722011-11-29T09:23:37Z http://eprints.utem.edu.my/id/eprint/172/ Plant residual time modelling based on observed variables in oil samples Wang, W. Hussin, B. Q Science (General) This paper presents a model and methodology for estimating the residual time of a plant item. This plant item can be an engine or any complex technical system monitored by a regularly spaced oil analysis programme. Typically in the oil samples taken, two groups of observed variables are available, namely, metal concentrations and variables related to the condition of the lubricant and contaminants. We term the former as internal variables and the latter as external variables. External variables are those that may cause the change of the underlying condition of the plant item and therefore the residual time, while internal variables are those variables that only reflect the residual time but cannot change it. We modelled both variables in an oil-based monitoring case, but the principle can be generalized to other monitoring situations. The main techniques used are stochastic filtering for residual time prediction and the maximum likelihood method for parameters estimation. The model established was fitted to the real data of marine diesel engines monitored by an oil analysis programme and the results are presented. Palgrave Macmillan 2009-06 Article PeerReviewed Wang, W. and Hussin, B. (2009) Plant residual time modelling based on observed variables in oil samples. Journal of the Operational Research Society , 60. pp. 789-796. ISSN 0160-5682 http://www.palgrave-journals.com/jors/journal/v60/n6/abs/2602621a.html doi:10.1057/palgrave.jors.2602621
spellingShingle Q Science (General)
Wang, W.
Hussin, B.
Plant residual time modelling based on observed variables in oil samples
title Plant residual time modelling based on observed variables in oil samples
title_full Plant residual time modelling based on observed variables in oil samples
title_fullStr Plant residual time modelling based on observed variables in oil samples
title_full_unstemmed Plant residual time modelling based on observed variables in oil samples
title_short Plant residual time modelling based on observed variables in oil samples
title_sort plant residual time modelling based on observed variables in oil samples
topic Q Science (General)
url http://eprints.utem.edu.my/id/eprint/172/
http://eprints.utem.edu.my/id/eprint/172/
http://eprints.utem.edu.my/id/eprint/172/