Application of Variational Mode Decomposition and k-Nearest Neighbor Algorithm in the Quantitative Nondestructive Testing of Wire Ropes
In this paper, we present a nondestructive testing device for wire rope by unsaturated magnetic excitation as an alternative to existing magnetic flux leakage (MFL) detection devices. The existing devices are heavy and inconvenient and offer somewhat lower accuracy and low signal-to-noise ratios (SN...
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| Format: | Article |
| Language: | English |
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Wiley
2019-01-01
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| Series: | Shock and Vibration |
| Online Access: | http://dx.doi.org/10.1155/2019/9828536 |
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| _version_ | 1832564624342384640 |
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| author | Pengbo Zheng Juwei Zhang |
| author_facet | Pengbo Zheng Juwei Zhang |
| author_sort | Pengbo Zheng |
| collection | DOAJ |
| description | In this paper, we present a nondestructive testing device for wire rope by unsaturated magnetic excitation as an alternative to existing magnetic flux leakage (MFL) detection devices. The existing devices are heavy and inconvenient and offer somewhat lower accuracy and low signal-to-noise ratios (SNRs). Our design implements variational mode decomposition (VMD) and a wavelet transformation to remove noise from the raw MFL signals. Grayscale images representing the denoised MFL data simplify visual interpretation of the results and location of defects in both axial and circumferential directions. Quantification of defects is enabled using a k-nearest neighbor (KNN) algorithm to classify broken wires. Experimental results show that our design offers lighter weight, better convenience, and high sensitivity along with better removal of noise and more accurate classification of defects. |
| format | Article |
| id | doaj-art-a51c766cc2a842439ee993e48d4a172c |
| institution | Kabale University |
| issn | 1070-9622 1875-9203 |
| language | English |
| publishDate | 2019-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Shock and Vibration |
| spelling | doaj-art-a51c766cc2a842439ee993e48d4a172c2025-02-03T01:10:38ZengWileyShock and Vibration1070-96221875-92032019-01-01201910.1155/2019/98285369828536Application of Variational Mode Decomposition and k-Nearest Neighbor Algorithm in the Quantitative Nondestructive Testing of Wire RopesPengbo Zheng0Juwei Zhang1College of Electrical Engineering, Henan University of Science and Technology, Luoyang 471023, ChinaCollege of Electrical Engineering, Henan University of Science and Technology, Luoyang 471023, ChinaIn this paper, we present a nondestructive testing device for wire rope by unsaturated magnetic excitation as an alternative to existing magnetic flux leakage (MFL) detection devices. The existing devices are heavy and inconvenient and offer somewhat lower accuracy and low signal-to-noise ratios (SNRs). Our design implements variational mode decomposition (VMD) and a wavelet transformation to remove noise from the raw MFL signals. Grayscale images representing the denoised MFL data simplify visual interpretation of the results and location of defects in both axial and circumferential directions. Quantification of defects is enabled using a k-nearest neighbor (KNN) algorithm to classify broken wires. Experimental results show that our design offers lighter weight, better convenience, and high sensitivity along with better removal of noise and more accurate classification of defects.http://dx.doi.org/10.1155/2019/9828536 |
| spellingShingle | Pengbo Zheng Juwei Zhang Application of Variational Mode Decomposition and k-Nearest Neighbor Algorithm in the Quantitative Nondestructive Testing of Wire Ropes Shock and Vibration |
| title | Application of Variational Mode Decomposition and k-Nearest Neighbor Algorithm in the Quantitative Nondestructive Testing of Wire Ropes |
| title_full | Application of Variational Mode Decomposition and k-Nearest Neighbor Algorithm in the Quantitative Nondestructive Testing of Wire Ropes |
| title_fullStr | Application of Variational Mode Decomposition and k-Nearest Neighbor Algorithm in the Quantitative Nondestructive Testing of Wire Ropes |
| title_full_unstemmed | Application of Variational Mode Decomposition and k-Nearest Neighbor Algorithm in the Quantitative Nondestructive Testing of Wire Ropes |
| title_short | Application of Variational Mode Decomposition and k-Nearest Neighbor Algorithm in the Quantitative Nondestructive Testing of Wire Ropes |
| title_sort | application of variational mode decomposition and k nearest neighbor algorithm in the quantitative nondestructive testing of wire ropes |
| url | http://dx.doi.org/10.1155/2019/9828536 |
| work_keys_str_mv | AT pengbozheng applicationofvariationalmodedecompositionandknearestneighboralgorithminthequantitativenondestructivetestingofwireropes AT juweizhang applicationofvariationalmodedecompositionandknearestneighboralgorithminthequantitativenondestructivetestingofwireropes |