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- W3012476356 abstract "Water pumps as fluid mechanical equipment are widely used in modern industrial production. Impeller damage is a common failure mode of pump, which will reduce the flow and head of pumps and affect the efficiency of the overall system. The normal operation of the pump can be ensured by timely diagnosis of impeller failure. Aiming at the problem of pump impeller fault, a method of pump fault diagnosis based on wavelet analysis and BP neural network is proposed. The wavelet analysis is introduced to extract the frequency band energy of the pump vibration signal, and the fault diagnosis is carried out by detecting the energy changes of each frequency component. The intelligent diagnosis of pump impeller fault is realized by obtaining the fault characteristics with energy. This method has high diagnostic accuracy and feasibility for further improving pump fault diagnosis." @default.
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- W3012476356 date "2019-04-01" @default.
- W3012476356 modified "2023-09-30" @default.
- W3012476356 title "Fault diagnosis of pumps based on wavelet analysis and BP neural network" @default.
- W3012476356 doi "https://doi.org/10.1109/fpm45753.2019.9035716" @default.
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