Recognition of Crack-Rubbing Coupling Fault of Bearing under High Water Pressure Based on Polar Symmetry Mode Decomposition
The precision of current research on fault recognition of marine bearing remains to be improved. Therefore, a recognition method of crack-rubbing coupling fault of bearing under high water pressure based on polar symmetry mode decomposition is proposed in this article. The structure of marine bearin...
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doaj-28e5874f00f5464982dd051a79f49f3a2021-01-01T00:02:51ZengMDPI AGSymmetry2073-89942021-12-0113595910.3390/sym13010059Recognition of Crack-Rubbing Coupling Fault of Bearing under High Water Pressure Based on Polar Symmetry Mode DecompositionJiuzhou Huang0Wen Hua1Tianzhou Xie2Yanchao Yao3Shiming Dong4Key Laboratory Deep Underground Science and Engineering, Ministry of Education, College of Architecture and Environment, Sichuan University, Chengdu 610065, ChinaKey Laboratory Deep Underground Science and Engineering, Ministry of Education, College of Architecture and Environment, Sichuan University, Chengdu 610065, ChinaNuclear Power Institute of China, Chengdu 610041, ChinaWuhan Haiwang New Energy Engineering & Technology Co., Ltd., Wuhan 430000, ChinaKey Laboratory Deep Underground Science and Engineering, Ministry of Education, College of Architecture and Environment, Sichuan University, Chengdu 610065, ChinaThe precision of current research on fault recognition of marine bearing remains to be improved. Therefore, a recognition method of crack-rubbing coupling fault of bearing under high water pressure based on polar symmetry mode decomposition is proposed in this article. The structure of marine bearing was analyzed, and the system was divided into several subsystems. Then, the nonlinearity relationship among the subsystems was confirmed. One subsystem was used to represent other subsystems, which was imported into the kinetic equation to obtain the equation after dimensionality reduction. According to the results of dimensionality reduction, the features of signal were measured from time domain, energy, and entropy. Meanwhile, the interior features of signal were extracted. Based on the feature extraction, the classifier of probabilistic neural network was introduced. The signal was recognized, and the recognition results were output via the training of signal sample data. Experimental results show that the method has better dimensionality reduction effect and high recognition precision. The method is practical.https://www.mdpi.com/2073-8994/13/1/59polar symmetry mode decompositionmarine bearingcrack-rubbing couplingfault recognitionbearing crack identificationprobabilistic neural network classification |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Jiuzhou Huang Wen Hua Tianzhou Xie Yanchao Yao Shiming Dong |
spellingShingle |
Jiuzhou Huang Wen Hua Tianzhou Xie Yanchao Yao Shiming Dong Recognition of Crack-Rubbing Coupling Fault of Bearing under High Water Pressure Based on Polar Symmetry Mode Decomposition Symmetry polar symmetry mode decomposition marine bearing crack-rubbing coupling fault recognition bearing crack identification probabilistic neural network classification |
author_facet |
Jiuzhou Huang Wen Hua Tianzhou Xie Yanchao Yao Shiming Dong |
author_sort |
Jiuzhou Huang |
title |
Recognition of Crack-Rubbing Coupling Fault of Bearing under High Water Pressure Based on Polar Symmetry Mode Decomposition |
title_short |
Recognition of Crack-Rubbing Coupling Fault of Bearing under High Water Pressure Based on Polar Symmetry Mode Decomposition |
title_full |
Recognition of Crack-Rubbing Coupling Fault of Bearing under High Water Pressure Based on Polar Symmetry Mode Decomposition |
title_fullStr |
Recognition of Crack-Rubbing Coupling Fault of Bearing under High Water Pressure Based on Polar Symmetry Mode Decomposition |
title_full_unstemmed |
Recognition of Crack-Rubbing Coupling Fault of Bearing under High Water Pressure Based on Polar Symmetry Mode Decomposition |
title_sort |
recognition of crack-rubbing coupling fault of bearing under high water pressure based on polar symmetry mode decomposition |
publisher |
MDPI AG |
series |
Symmetry |
issn |
2073-8994 |
publishDate |
2021-12-01 |
description |
The precision of current research on fault recognition of marine bearing remains to be improved. Therefore, a recognition method of crack-rubbing coupling fault of bearing under high water pressure based on polar symmetry mode decomposition is proposed in this article. The structure of marine bearing was analyzed, and the system was divided into several subsystems. Then, the nonlinearity relationship among the subsystems was confirmed. One subsystem was used to represent other subsystems, which was imported into the kinetic equation to obtain the equation after dimensionality reduction. According to the results of dimensionality reduction, the features of signal were measured from time domain, energy, and entropy. Meanwhile, the interior features of signal were extracted. Based on the feature extraction, the classifier of probabilistic neural network was introduced. The signal was recognized, and the recognition results were output via the training of signal sample data. Experimental results show that the method has better dimensionality reduction effect and high recognition precision. The method is practical. |
topic |
polar symmetry mode decomposition marine bearing crack-rubbing coupling fault recognition bearing crack identification probabilistic neural network classification |
url |
https://www.mdpi.com/2073-8994/13/1/59 |
work_keys_str_mv |
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1724364518252871680 |