Sludge expansion fault identification method based on recursive RBF (radial basis function) neural network
A neural network and sludge bulking technology, applied in the field of water treatment, can solve problems such as control measures, no sludge bulking, process failure of sewage treatment process, etc.
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[0088] The present invention selects the characteristic variables of the sludge volume index SVI as the mixed suspended matter concentration MLSS, temperature T, dissolved oxygen concentration DO, chemical oxygen demand COD and total nitrogen TN, and the above units are mg / liter;
[0089] The experimental data comes from the 2014 water quality analysis daily report of a sewage treatment plant; after removing the abnormal experimental samples, there are 100 sets of available data, of which 60 sets are used as training data, and the remaining 40 sets are used as test data; the present invention adopts the following technical scheme and realization step:
[0090] The specific steps of sludge bulking fault identification algorithm based on recursive RBF neural network are as follows:
[0091] 1. A sludge bulking fault identification method based on a recursive RBF neural network, characterized in that it obtains the eigenvalue of the sludge volume index SVI through feature analysi...
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