Kyu-Han Kim, Heung-seok Lee, Jung-Hwan Kim, Juneho Park
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Detection of Boiler Tube Leakage Fault in a Thermal Power Plant Using Machine Learning Based Data Mining Technique
Tube leakage of steam boiler can decrease the whole efficiency of thermal power plant, and eventually cause an outage. In this paper, we propose a fault detection method based on machine learning for boiler tube leakage fault in thermal power plant. First, we introduce the clustering-based fault detection method and explain results. Second, we propose neural network based fault detection method. Finally, to verify the performance, the proposed fault detection method is applied to faults cases due to boiler tube leakage and validate effectiveness of detection.