A Wear Debris Segmentation Method for Direct Reflection Online Visual Ferrography
Wear debris in lube oil was observed using a direct reflection online visual ferrograph (OLVF) to monitor the machine running condition and judge wear failure online. The existing research has mainly concentrated on extraction of wear debris concentration and size according to ferrograms under trans...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2019-02-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/19/3/723 |
| _version_ | 1828109226942136320 |
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| author | Song Feng Guang Qiu Jiufei Luo Leng Han Junhong Mao Yi Zhang |
| author_facet | Song Feng Guang Qiu Jiufei Luo Leng Han Junhong Mao Yi Zhang |
| author_sort | Song Feng |
| collection | DOAJ |
| description | Wear debris in lube oil was observed using a direct reflection online visual ferrograph (OLVF) to monitor the machine running condition and judge wear failure online. The existing research has mainly concentrated on extraction of wear debris concentration and size according to ferrograms under transmitted light. Reports on the segmentation algorithm of the wear debris ferrograms under reflected light are lacking. In this paper, a wear debris segmentation algorithm based on edge detection and contour classification is proposed. The optimal segmentation threshold is obtained by an adaptive canny algorithm, and the contour classification filling method is applied to overcome the problems of excessive brightness or darkness of some wear debris that is often neglected by traditional segmentation algorithms such as the Otsu and Kittler algorithms. |
| first_indexed | 2024-04-11T10:59:14Z |
| format | Article |
| id | doaj.art-00a5f81f0a2149d893a46695399dea63 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-04-11T10:59:14Z |
| publishDate | 2019-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-00a5f81f0a2149d893a46695399dea632022-12-22T04:28:40ZengMDPI AGSensors1424-82202019-02-0119372310.3390/s19030723s19030723A Wear Debris Segmentation Method for Direct Reflection Online Visual FerrographySong Feng0Guang Qiu1Jiufei Luo2Leng Han3Junhong Mao4Yi Zhang5School of Advanced Manufacture, Chongqing University of Posts and Telecommunications, Chongqing 400065, ChinaSchool of Advanced Manufacture, Chongqing University of Posts and Telecommunications, Chongqing 400065, ChinaSchool of Advanced Manufacture, Chongqing University of Posts and Telecommunications, Chongqing 400065, ChinaSchool of Advanced Manufacture, Chongqing University of Posts and Telecommunications, Chongqing 400065, ChinaTheory of Lubrication and Bearing Institute, Key Laboratory of Education Ministry for Modern Design & Rotor-Bearing Systems, Xi’an Jiaotong University, Xi’an 710049, ChinaSchool of Advanced Manufacture, Chongqing University of Posts and Telecommunications, Chongqing 400065, ChinaWear debris in lube oil was observed using a direct reflection online visual ferrograph (OLVF) to monitor the machine running condition and judge wear failure online. The existing research has mainly concentrated on extraction of wear debris concentration and size according to ferrograms under transmitted light. Reports on the segmentation algorithm of the wear debris ferrograms under reflected light are lacking. In this paper, a wear debris segmentation algorithm based on edge detection and contour classification is proposed. The optimal segmentation threshold is obtained by an adaptive canny algorithm, and the contour classification filling method is applied to overcome the problems of excessive brightness or darkness of some wear debris that is often neglected by traditional segmentation algorithms such as the Otsu and Kittler algorithms.https://www.mdpi.com/1424-8220/19/3/723ferrographyclassification of contourssegmentation of wear debris |
| spellingShingle | Song Feng Guang Qiu Jiufei Luo Leng Han Junhong Mao Yi Zhang A Wear Debris Segmentation Method for Direct Reflection Online Visual Ferrography Sensors ferrography classification of contours segmentation of wear debris |
| title | A Wear Debris Segmentation Method for Direct Reflection Online Visual Ferrography |
| title_full | A Wear Debris Segmentation Method for Direct Reflection Online Visual Ferrography |
| title_fullStr | A Wear Debris Segmentation Method for Direct Reflection Online Visual Ferrography |
| title_full_unstemmed | A Wear Debris Segmentation Method for Direct Reflection Online Visual Ferrography |
| title_short | A Wear Debris Segmentation Method for Direct Reflection Online Visual Ferrography |
| title_sort | wear debris segmentation method for direct reflection online visual ferrography |
| topic | ferrography classification of contours segmentation of wear debris |
| url | https://www.mdpi.com/1424-8220/19/3/723 |
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