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pro vyhledávání: '"CHP Plant Boilers"'
Autor:
Carls, Fredrik
In the hope to increase the detection rate of faults in combined heat and power plant boilers thus lowering unplanned maintenance three machine learning models are constructed and evaluated. The algorithms; k-Nearest Neighbor, One-Class Support Vecto
Externí odkaz:
http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-255006