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.
|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||39th International Universities Power Engineering Conference (UPEC 2004)|
|Period||6/09/04 → 8/09/04|
- decision support system
- vibration monitoring
- turbine generators
Todd, M., McArthur, S. D. J., West, G. M., & McDonald, J. R. (2004). The design of a decision support system for the vibration monitoring of turbine generators. 433-437. Paper presented at 39th International Universities Power Engineering Conference (UPEC 2004) , Bristol, United Kingdom.