Abstract
In order to solve the problem of fault diagnosis in sewage treatment, a fault diagnosis method combining wavelet packet and improved self-organization mapping (SOM) neural network was proposed. In this method, the fault of sewage treatment is decomposed into three types by wavelet packet, and then decomposed into several frequency bands to calculate the energy of different frequency bands. By using the ratio of these energy values to the energy values of normal operating frequency bands, the feature vector of fault diagnosis of sewage treatment fault is constructed to extract fault features. SOM neural network of 3 x 3 was designed, and the neural network training was carried out using the energy fault feature vector [1], so as to determine the network parameters and achieve the purpose of fault diagnosis. The simulation results show that the fault diagnosis method is effective and accurate.
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