Abstract
Machine fault detection has been attracting significant attention from industry. The early detection of faults in rotating machines can significantly enhance the safety, reliability, and economic issues of industrial operations. With the emerging technology of artificial neural networks and fuzzy logic, the motor fault detection problem can be solved using an innovative approach based on easy accessible measurements, without the need for expensive equipment or accurate mathematical models that are required from conventional fault detection techniques. This paper describes the advantages and the challenge of using the technology of artificial neural networks to solve motor fault detection problems, and also highlights parts of the research results obtained by the author. >
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