Abstract
Condition monitoring, within the power industry, is essential to ensure continuous operation and health of electrical plans. This is a complex activity that requires the combination of different artificial intelligence techniques. This article describes a multiagent framework to support such a condition-monitoring approach. The resulting condition monitoring multiagent system (COMMAS) was applied to two different case studies, to monitor the start-up sequences of industrial gas turbines and identification of partial discharge signal defects in gas insulated substations.
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