Bearing fault detection using artificial neural networks and genetic algorithms
A study is presented to compare the performance of bearing fault detection using three types of artificial neural networks (ANNs), namely, multilayer perceptron (MLP), radial basis function (RBF) network, and probabilistic neural network (PNN). The time domain vibration signals of a rotating machine...
|Journal Title:||EURASIP Journal on Applied Signal Processing Vol. 2004; no. 3; pp. 366 - 377|
|Authors:||Biswanath Samanta, Khamis R Al-Balushi, Saeed A Al-Araimi|