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Erschienen in:
2012 | OriginalPaper | Buchkapitel
Case-Based Reasoning for Turbine Trip Diagnostics
verfasst von : Aisha Yousuf, William Cheetham
Erschienen in: Case-Based Reasoning Research and Development
Verlag: Springer Berlin Heidelberg
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General Electric created a case-based reasoning system to diagnose unexpected shutdowns of turbines. This system is currently in use at a remote monitoring facility which monitors over 1500 turbines. There are multiple root causes for turbine shutdowns. The system has a reasoner for five of the most common root causes. These reasoners use either rule-based or case-based reasoning to produce a confidence value which specifies the likelihood that the root cause for that reasoner was responsible for the shutdown. Another case-based reasoner combines these individual confidences to determine the most likely root cause and its confidence.