Neural Network Based Approach for Machine Fault Diagnosis

摘要

A novel approach to classify the state of a machine based on vibrationmeasurements and the use of a dynamic neural network is presented. Some comparisons are made between the presented method, the linear classifier, the third-order nonlinear classifier, Markov model based classifier and the recurrent backpropagation network. The proposed classifier can be considered as a spatiotemporal neural network. The spatiotemporal neural network can effectively store much more information than most other types of neural networks with the same number of nodes. The presented approach is suited to machine maintenance for two reasons: Firstly, it can model temporal relations. Secondly, it can efficiently handle large amounts of data.