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This paper presents and innovative technique-referred to as trend-weighted rule-based expert system (TWRBES) — grounded in the integration of two existing tools of the artificial intelligence field, expert systems (ES) and qualitative trend analysis (QTA). The main goal of this approach is to benefit of the main advantages associated with each of the techniques used, such as the ability to represent...
We present our experiences in five power systems domains where we applied diverse knowledge discovery - data mining techniques. The first domain is about electric generator diagnosis. The second one is related to flashover forecasting in high-voltage insulators. The third case is about obtaining expert knowledge, applying data mining techniques to hydroelectric and thermoelectric utilities databases...
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