Abstract
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.
Original language | English |
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Pages | 433-437 |
Number of pages | 5 |
Publication status | Published - 2004 |
Event | 39th International Universities Power Engineering Conference (UPEC 2004) - Bristol, United Kingdom Duration: 6 Sep 2004 → 8 Sep 2004 |
Conference
Conference | 39th International Universities Power Engineering Conference (UPEC 2004) |
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Country/Territory | United Kingdom |
City | Bristol |
Period | 6/09/04 → 8/09/04 |
Keywords
- design
- decision support system
- vibration monitoring
- turbine generators