{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,28]],"date-time":"2026-03-28T15:35:14Z","timestamp":1774712114248,"version":"3.50.1"},"reference-count":20,"publisher":"MDPI AG","issue":"7","license":[{"start":{"date-parts":[[2018,7,16]],"date-time":"2018-07-16T00:00:00Z","timestamp":1531699200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100005023","name":"State Key Laboratory of Rail Traffic Control and Safety","doi-asserted-by":"publisher","award":["RCS2017K008"],"award-info":[{"award-number":["RCS2017K008"]}],"id":[{"id":"10.13039\/501100005023","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>As an important part of the electric locomotive in railway transportation, the sensing and inspection of the pantograph has a significant effect on the safe operation of the train. In general, the pantograph carbon slip detection items include slide wear detection, slip strip crack detection, carbon slip fall-block detection and slip strip wear detection. The emergence and development of structured light measurement technology with 3D sensors provide new technical means for the acquisition of spatial 3D information. The three-dimensional data can not only obtain more information but also reduce the data deviation, thereby improving the measurement accuracy and work efficiency. At present, few studies have been conducted on the slide block and partial wear of the carbon slide. Therefore, this paper studies the detection of the pantograph slide block based on 3D sensor measurement technology. The experimental results indicate that it is feasible to adopt 3D measurement technology to detect the fall-block of the pantograph slide. In addition, a sound detection effect can also be obtained.<\/jats:p>","DOI":"10.3390\/s18072305","type":"journal-article","created":{"date-parts":[[2018,7,16]],"date-time":"2018-07-16T11:38:50Z","timestamp":1531741130000},"page":"2305","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":11,"title":["Design of the Fall-Block Sensing of the Railway Line Pantograph Based on 3D Machine Vision Sensors"],"prefix":"10.3390","volume":"18","author":[{"given":"Kai","family":"Yang","sequence":"first","affiliation":[{"name":"School of Physical Science and Technology, Southwest Jiaotong University, Chengdu 611756, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jianping","family":"Peng","sequence":"additional","affiliation":[{"name":"School of Physical Science and Technology, Southwest Jiaotong University, Chengdu 611756, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chaozhe","family":"Jiang","sequence":"additional","affiliation":[{"name":"School of Transportation and Logistics, Southwest Jiaotong University, Chengdu 611756, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xi","family":"Jiang","sequence":"additional","affiliation":[{"name":"State Key Lab of Rail Traffic Control and Safety, Beijing Jiaotong Unversity, Beijing 100044, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Longfei","family":"Xiao","sequence":"additional","affiliation":[{"name":"School of Physical Science and Technology, Southwest Jiaotong University, Chengdu 611756, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Bangping","family":"Wang","sequence":"additional","affiliation":[{"name":"Chengdu Lead Science &amp; Technology Co., Ltd., Chengdu 610091, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiaorong","family":"Gao","sequence":"additional","affiliation":[{"name":"School of Physical Science and Technology, Southwest Jiaotong University, Chengdu 611756, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Liming","family":"Xie","sequence":"additional","affiliation":[{"name":"Chengdu Lead Science &amp; Technology Co., Ltd., Chengdu 610091, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hua","family":"Peng","sequence":"additional","affiliation":[{"name":"Chengdu Lead Science &amp; Technology Co., Ltd., Chengdu 610091, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2018,7,16]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"Ho, C. (2009, January 16\u201319). Machine Vision Based on 3D Scanning System. Proceedings of the Ninth International Conference on Electronic Measurement & Instruments, Beijing, China.","DOI":"10.1109\/ICEMI.2009.5274045"},{"key":"ref_2","doi-asserted-by":"crossref","unstructured":"Kadambi, A., Taamazyan, V., Shi, B., and Raskar, R. (2015, January 7\u201313). Polarized 3D: High-quality depth sensing with polarization cues. Proceedings of the IEEE International Conference on Computer Vision (ICCV), Santiago, Chile.","DOI":"10.1109\/ICCV.2015.385"},{"key":"ref_3","unstructured":"Fagueras, O. (1993). Three-Dimensional Computer Vision: AGV, MIT Press."},{"key":"ref_4","unstructured":"Li, Z. (2007). Research on 3D Machine Vision System Based on Laser Scanning. [Master\u2019s Thesis, Jilin University]."},{"key":"ref_5","first-page":"1","article-title":"3D Reconstruction by Kinect Sensor: A brief review computer aided drafting","volume":"24","author":"Li","year":"2014","journal-title":"Des. Manuf."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"384","DOI":"10.1109\/TPAMI.1985.4767678","article-title":"Determining Three-Dimensional Motion and Structure from Optical Flow Generated by Several Moving Objects","volume":"7","author":"Adiv","year":"1985","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"227","DOI":"10.1007\/s00371-009-0400-y","article-title":"A camera on-line recalibration framework using SIFT","volume":"26","author":"Li","year":"2010","journal-title":"Vis. Comput."},{"key":"ref_8","doi-asserted-by":"crossref","unstructured":"Carr, P., Sheikh, Y., and Matthews, I. (2012, January 9\u201311). Point-less calibration: Camera parameters form gradient-based alignment to edge images. Proceedings of the IEEE Workshop on the Applications of Computer Vision (WACV), Breckenridge, CO, USA.","DOI":"10.1109\/WACV.2012.6163012"},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"1330","DOI":"10.1109\/34.888718","article-title":"A flexible new technique for camera calibration","volume":"22","author":"Zhang","year":"1988","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"256","DOI":"10.1109\/34.121791","article-title":"A method for registration of 3D-shapes","volume":"14","author":"Besl","year":"1992","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"ref_11","unstructured":"Huang, H.Y. (2008). Pantograph Silde Abrasion Image Detection Algorithm Research, Southwest Jiaotong University."},{"key":"ref_12","unstructured":"Mochizuka, H., Kusumi, S., Mori, M., and Nagasawa, H. (2000, January 1\u20134). New Detection Method for contact loss of pantograph. Proceedings of the 17th IEEE International Conference on instrumentation and Measurement Technology, Baltimore, MD, USA."},{"key":"ref_13","doi-asserted-by":"crossref","unstructured":"Hamey, L.G.C., Watkins, T., and Yen, S.W.T. (2007, January 3\u20135). Pancam: In-service Inspection of Locomotive Pantographs. Proceedings of the 9th Biennial Conference of the Australian Pattern Recognition Society on Digital Image Computing Techniques and Application, Glenelg, Australia.","DOI":"10.1109\/DICTA.2007.4426837"},{"key":"ref_14","unstructured":"Ma, L., Wang, Z.-Y., Gao, X.-R., Wang, L., and Yang, K. (2009, January 17\u201319). Machine Vision Based on 3D Scanning System. Proceedings of the 2009 2nd International Congress on Image and Signal Processing, Tianjin, China."},{"key":"ref_15","first-page":"74","article-title":"Design of the Abrasion Detection of Pantograph System Based on 3D Machine Vision","volume":"44","author":"Mo","year":"2015","journal-title":"Mech. Electr. Eng. Technol."},{"key":"ref_16","first-page":"57","article-title":"Research on Detection Method of Geometric Parameters of Contact Network Based on Laser Scanning","volume":"1","author":"Zhang","year":"2016","journal-title":"Comput. Meas. Control."},{"key":"ref_17","first-page":"57","article-title":"Application of ultrasonic distance measurement principle in detection of pantograph abrasion","volume":"5","author":"Yin","year":"2008","journal-title":"Electr. Drive Locomot."},{"key":"ref_18","first-page":"151","article-title":"The Design of an Abrasion Detection System for Monorail Train Pantograph Slider","volume":"8","author":"Meng","year":"2017","journal-title":"Railw. Stand. Des."},{"key":"ref_19","first-page":"36","article-title":"Pantograph automatic monitoring device development","volume":"12","author":"Shuuichi","year":"1999","journal-title":"ETR"},{"key":"ref_20","doi-asserted-by":"crossref","unstructured":"Valigi, M.C., Logozzo, S., and Affatato, S. (2017). New Challenges in Tribology: Wear Assessent Using 3D Optical Scanners. Materials, 10.","DOI":"10.3390\/ma10050548"}],"container-title":["Sensors"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/1424-8220\/18\/7\/2305\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T15:12:27Z","timestamp":1760195547000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/1424-8220\/18\/7\/2305"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,7,16]]},"references-count":20,"journal-issue":{"issue":"7","published-online":{"date-parts":[[2018,7]]}},"alternative-id":["s18072305"],"URL":"https:\/\/doi.org\/10.3390\/s18072305","relation":{},"ISSN":["1424-8220"],"issn-type":[{"value":"1424-8220","type":"electronic"}],"subject":[],"published":{"date-parts":[[2018,7,16]]}}}