Use this URL to cite or link to this record in EThOS: http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.490430
Title: Development of a state prediction model to aid decision making in condition based maintenance
Author: Hussin, Burairah
ISNI:       0000 0001 3585 2770
Awarding Body: University of Salford
Current Institution: University of Salford
Date of Award: 2007
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Abstract:
Condition monitoring and fault diagnosis for operational equipment are developing and bowing their potential for enhancing the effectiveness and efficiency of maintenance management, including maintenance decision-making. In this thesis, our aim is to model the condition of equipment items subject to condition-monitoring in order to provide a quantitative measure to aid maintenance decision-making. A key ingredient towards dealing with the modelling work is to define the state or condition of the equipment with an appropriate measure and the observed condition monitoring may be a function of the state or condition of the operational equipment concerned. This leads to the two elements that are important in our modelling development; the need to develop a model that describes the system condition subject to its monitoring data and a decision model that is based upon the predicted system condition.
Supervisor: Not available Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID: uk.bl.ethos.490430  DOI: Not available
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