JOURNAL ARTICLE

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

Dongfang ZhaoShulin LiuHongli ZhangXin SunLu WangYuan Wei

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

Metrics

18
Cited By
2.13
FWCI (Field Weighted Citation Impact)
38
Refs
0.88
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

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
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