The advantages and challenges of machine fault detection using artificial neural network and fuzzy logic technologies

Machine fault detection has always been an important topic in power engineering. The early detection of faults in rotating machines can significantly enhance the safety, reliability, and economic issues of power systems. With the emerging technology of artificial neural networks and fuzzy logic, the motor fault detection problem cam be easily 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 the research results of the National Science Foundation sponsored project Motor Fault Detection Using Artificial Neural Networks