Abstract
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.
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Yousuf, A., Cheetham, W. (2012). Case-Based Reasoning for Turbine Trip Diagnostics. In: Agudo, B.D., Watson, I. (eds) Case-Based Reasoning Research and Development. ICCBR 2012. Lecture Notes in Computer Science(), vol 7466. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-32986-9_34
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DOI: https://doi.org/10.1007/978-3-642-32986-9_34
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