The design of a decision support system for the vibration monitoring of turbine generators
Todd, M. and McArthur, S.D.J. and West, G.M. and McDonald, J.R. (2004) The design of a decision support system for the vibration monitoring of turbine generators. In: 39th International Universities Power Engineering Conference (UPEC 2004), 2004-09-06 - 2004-09-08.
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Condition Monitoring (CM) systems monitor the health of expensive plant items such as turbine generators. They interpret turbine parameters by signaling an alarm when pre-defined limits are breached. Often these alarms have no further operational consequence but still require investigation by an expert. This is a time consuming and laborious process due to the volume of data interpreted for each alarm. In order to reduce the burden of alarm assessment, a Decision Support System (DSS) is proposed. The DSS will feature a Routine Alarm Assessment (RAA) module which provides an initial analysis of the alarms, highlighting those with no further operational consequence and enabling the expert to focus on those which indicate a genuine problem with the turbine. The structured approach taken to capture and document the expert knowledge on RAA along with the generation of a module specification and the selected IS techniques are outlined. The implementation of an RAA prototype is discussed along with how this will act as a foundation for a full alarm interpretation and fault diagnostic system.
ORCID iDs
Todd, M., McArthur, S.D.J. ORCID: https://orcid.org/0000-0003-1312-8874, West, G.M. ORCID: https://orcid.org/0000-0003-0884-6070 and McDonald, J.R. ORCID: https://orcid.org/0000-0002-7078-845X;-
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Item type: Conference or Workshop Item(Paper) ID code: 38445 Dates: DateEvent2004PublishedSubjects: Technology > Electrical engineering. Electronics Nuclear engineering Department: Faculty of Engineering > Electronic and Electrical Engineering
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Professional Services > Corporate Services DirectorateDepositing user: Pure Administrator Date deposited: 13 Mar 2012 14:22 Last modified: 11 Nov 2024 16:18 URI: https://strathprints.strath.ac.uk/id/eprint/38445