Wavelet packet analysis and empirical mode decomposition for the fault diagnosis of reciprocating compressors
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Publisher
IEEE
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http://xplorestaging.ieee.org/ielx7/8067274/8081956/08082065.pdf?arnumber=8082065
Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Reciprocating compressors intelligent fault diagnosis under multiple operating conditions based on adaptive variable scale morphological filter;Measurement;2024-01
2. A Technique for Bearing Fault Diagnosis Using Novel Wavelet Packet Transform-Based Signal Representation and Informative Factor LDA;Machines;2023-12-11
3. Multiclass EEG signal classification utilizing Rényi min-entropy-based feature selection from wavelet packet transformation;Brain Informatics;2020-06-16
4. Application of Wavelet Packet Transform and Envelope Analysis on Pressure Pulsations from a Reciprocating Compressor;Advances in Asset Management and Condition Monitoring;2020
5. An Evaluating Study of Using Thermal Imaging and Convolutional Neural Network for Fault Diagnosis of Reciprocating Compressors;Advances in Asset Management and Condition Monitoring;2020
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