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Computers & industrial engineering, v.48 no.2, 2005년, pp.395 - 408
Shin, Hyun Joon (Department of Industrial Information and Systems Engineering, Sangmyung University, Cheonan, Choongnam, 300-720, South Korea) , Eom, Dong-Hwan (Department of Industrial Systems and Information Engineering, Korea University, Seoul 136-701, South Korea) , Kim, Sung-Shick (Department of Industrial Systems and Information Engineering, Korea University, Seoul 136-701, South Korea)
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AbstractFast incipient machine fault diagnosis is becoming one of the key requirements for economical and optimal process operation management. Artificial neural networks have been used to detect machine faults for a number of years and shown to be highly successful in this application area. This pa...
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