Mechanical Fault Monitoring in Industrial Environment: an Artificial Neural Network Based Approach

Abstract: This paper deals with the early detection and intelligent diagnosis of mechanical faults in industrial turning machines. We develop a new strategy hybridizing conventional signal analysis based techniques and artificial neural networks issued methods. Experimental results, obtained from a real experimental industrial plant, validating the proposed strategy and issued intelligent fault detection and diagnosis system are presented and discussed