Wheel Tread Reconstruction Based on Improved Stoilov Algorithm
With the development of rail transit in terms of speed and carrying capacity, train safety problems caused by wheel tread defects and wear have become more prominent. The wheel is an important part of the train, and the wear and defects of the wheel tread are directly related to the safety of the tr...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2022-04-01
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| Series: | Optics |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2673-3269/3/2/16 |
| _version_ | 1797483536775643136 |
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| author | Tao Tang Jianping Peng Jinlong Li Yingying Wan Xingzi Liu Ruyu Ma |
| author_facet | Tao Tang Jianping Peng Jinlong Li Yingying Wan Xingzi Liu Ruyu Ma |
| author_sort | Tao Tang |
| collection | DOAJ |
| description | With the development of rail transit in terms of speed and carrying capacity, train safety problems caused by wheel tread defects and wear have become more prominent. The wheel is an important part of the train, and the wear and defects of the wheel tread are directly related to the safety of the train; therefore, wheel tread testing is a key element of train testing. In phase measuring profilometry (PMP), the virtual sine grating generated by the computer is projected onto the measured wheel tread by a digital projector, and then a camera is used to obtain the modulated deformed grating on the surface of the wheel tread. Next, the wrapped phase is obtained by the improved Stoilov algorithm, and the unwrapped phase is obtained by the phase unwrapped algorithm. Finally, the three-dimensional (3D) profile of the wheel tread is reconstructed. This paper presents an improved Stoilov algorithm based on probability and statistics. Supposing that the probability of real data was the highest, we chose the cosine square matrix value of the phase shift for processing. After ruling out the singular points of large error, we obtained the closest value to the true phase shift using the method of probability and statistics. The experimental results show that this method can effectively restrain the singular phenomenon, and the 3D profile of wheel tread can be reconstructed successfully. |
| first_indexed | 2024-03-09T22:49:25Z |
| format | Article |
| id | doaj.art-740438263b0b4b4ba0b922ea24ee5fe0 |
| institution | Directory Open Access Journal |
| issn | 2673-3269 |
| language | English |
| last_indexed | 2024-03-09T22:49:25Z |
| publishDate | 2022-04-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Optics |
| spelling | doaj.art-740438263b0b4b4ba0b922ea24ee5fe02023-11-23T18:23:34ZengMDPI AGOptics2673-32692022-04-013215015810.3390/opt3020016Wheel Tread Reconstruction Based on Improved Stoilov AlgorithmTao Tang0Jianping Peng1Jinlong Li2Yingying Wan3Xingzi Liu4Ruyu Ma5Institute of Optoelectronic Engineering, College of Physical Science and Technology, Southwest Jiaotong University, Chengdu 610036, ChinaInstitute of Optoelectronic Engineering, College of Physical Science and Technology, Southwest Jiaotong University, Chengdu 610036, ChinaInstitute of Optoelectronic Engineering, College of Physical Science and Technology, Southwest Jiaotong University, Chengdu 610036, ChinaInstitute of Optoelectronic Engineering, College of Physical Science and Technology, Southwest Jiaotong University, Chengdu 610036, ChinaInstitute of Optoelectronic Engineering, College of Physical Science and Technology, Southwest Jiaotong University, Chengdu 610036, ChinaInstitute of Optoelectronic Engineering, College of Physical Science and Technology, Southwest Jiaotong University, Chengdu 610036, ChinaWith the development of rail transit in terms of speed and carrying capacity, train safety problems caused by wheel tread defects and wear have become more prominent. The wheel is an important part of the train, and the wear and defects of the wheel tread are directly related to the safety of the train; therefore, wheel tread testing is a key element of train testing. In phase measuring profilometry (PMP), the virtual sine grating generated by the computer is projected onto the measured wheel tread by a digital projector, and then a camera is used to obtain the modulated deformed grating on the surface of the wheel tread. Next, the wrapped phase is obtained by the improved Stoilov algorithm, and the unwrapped phase is obtained by the phase unwrapped algorithm. Finally, the three-dimensional (3D) profile of the wheel tread is reconstructed. This paper presents an improved Stoilov algorithm based on probability and statistics. Supposing that the probability of real data was the highest, we chose the cosine square matrix value of the phase shift for processing. After ruling out the singular points of large error, we obtained the closest value to the true phase shift using the method of probability and statistics. The experimental results show that this method can effectively restrain the singular phenomenon, and the 3D profile of wheel tread can be reconstructed successfully.https://www.mdpi.com/2673-3269/3/2/16phase measuring profilometryStoilov algorithmwheel treadreconstruction |
| spellingShingle | Tao Tang Jianping Peng Jinlong Li Yingying Wan Xingzi Liu Ruyu Ma Wheel Tread Reconstruction Based on Improved Stoilov Algorithm Optics phase measuring profilometry Stoilov algorithm wheel tread reconstruction |
| title | Wheel Tread Reconstruction Based on Improved Stoilov Algorithm |
| title_full | Wheel Tread Reconstruction Based on Improved Stoilov Algorithm |
| title_fullStr | Wheel Tread Reconstruction Based on Improved Stoilov Algorithm |
| title_full_unstemmed | Wheel Tread Reconstruction Based on Improved Stoilov Algorithm |
| title_short | Wheel Tread Reconstruction Based on Improved Stoilov Algorithm |
| title_sort | wheel tread reconstruction based on improved stoilov algorithm |
| topic | phase measuring profilometry Stoilov algorithm wheel tread reconstruction |
| url | https://www.mdpi.com/2673-3269/3/2/16 |
| work_keys_str_mv | AT taotang wheeltreadreconstructionbasedonimprovedstoilovalgorithm AT jianpingpeng wheeltreadreconstructionbasedonimprovedstoilovalgorithm AT jinlongli wheeltreadreconstructionbasedonimprovedstoilovalgorithm AT yingyingwan wheeltreadreconstructionbasedonimprovedstoilovalgorithm AT xingziliu wheeltreadreconstructionbasedonimprovedstoilovalgorithm AT ruyuma wheeltreadreconstructionbasedonimprovedstoilovalgorithm |