Intelligent Fault Diagnosis of Reciprocating Compressor Based on Attention Mechanism Assisted Convolutional Neural Network Via Vibration Signal Rearrangement

Dongfang Zhao; Shulin Liu; Hongli Zhang; Xin Sun; Lu Wang; Yuan Wei

doi:10.1007/s13369-021-05515-9

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Intelligent Fault Diagnosis of Reciprocating Compressor Based on Attention Mechanism Assisted Convolutional Neural Network Via Vibration Signal Rearrangement

Dongfang Zhao Shulin Liu Hongli Zhang Xin Sun Lu Wang Yuan Wei

Year: 2021 Journal: Arabian Journal for Science and Engineering Vol: 46 (8)Pages: 7827-7840 Publisher: Springer Science+Business Media

DOI: 10.1007/s13369-021-05515-9

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Keywords:

Reciprocating compressor Convolutional neural network Computer science Artificial intelligence Pattern recognition (psychology) SIGNAL (programming language) Artificial neural network Feature extraction Noise (video) Classifier (UML) Fault (geology) Engineering Gas compressor

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Machine Fault Diagnosis Techniques

Physical Sciences → Engineering → Control and Systems Engineering

Oil and Gas Production Techniques

Physical Sciences → Engineering → Ocean Engineering

Fault Detection and Control Systems

Physical Sciences → Engineering → Control and Systems Engineering

Intelligent Fault Diagnosis of Reciprocating Compressor Based on Attention Mechanism Assisted Convolutional Neural Network Via Vibration Signal Rearrangement

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