A Novel Method for Mechanical Fault Diagnosis of Underwater Pump Motors Based on Power Flow Theory

Due to difficulty in disposing of unsteady and nonlinear acoustic signals by conventional signal process methods, it remains a challenge to develop the noncontacting-based fault diagnosis techniques for underwater pump systems. Fortunately, the power flow theory (PFT), which has been proposed to ana...

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Vydané v:	IEEE transactions on instrumentation and measurement Ročník 70; s. 1 - 17
Hlavní autori:	Jiang, Weixiong, Wang, Honghui, Liu, Guijie, Liu, Yonghong, Cai, Baoping, Li, Zhixiong
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York IEEE 2021 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Acoustic noise Acoustics Back propagation Back propagation networks Convolution Deep convolution processing feature (DCPM) Empirical analysis Fault diagnosis Feature extraction Flow theory genetic algorithm-backpropagation neural network (GANN) Genetic algorithms Hilbert transformation Load flow Neural networks Noise reduction Power flow power flow theory (PFT) Signal processing Sonar equipment Underwater acoustics underwater pump system Underwater structures Vibrations
ISSN:	0018-9456, 1557-9662
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