Abstract
In the paper we considered a hybrid method of dynamograms wavelet analysis, applied for oil-production equipment work mode identification. Neural network architecture for sucker-rod deep-well pump units malfunctions detection is proposed. The architecture of intellectual data recognition system applied for pump installation control is presented.
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