Experimentally vibration and noise analysis of two types of washing machines with a proposed neural network predictor

Due to unpredictable noises, there are plenty of health problems on human. This paper is focused on neural networks (NNs) based prediction analyzer for two types drive schemes of washing machines that are direct drive and belt-pulley drive, for vibration and fault diagnosis of motors bearings. Furthermore, eight different cases including, during washing with direct drive and belt-pulley, squeezing during washing with direct drive and belt-pulley for noises and acceleration of the washing machines systems are investigated using the proposed algorithm of NNs. An Intelligent Data Acquisition (IDA), a microphone and PC are used to measure the system noise. For the case of different working conditions of the system, three types of NN are used to investigate the noise levels. The results show that NN with quick propagation algorithm gives superior performance for predicting and evaluating the noise of washing machine systems.