{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,23]],"date-time":"2026-06-23T14:19:25Z","timestamp":1782224365970,"version":"3.54.5"},"reference-count":67,"publisher":"MDPI AG","issue":"1","license":[{"start":{"date-parts":[[2020,12,25]],"date-time":"2020-12-25T00:00:00Z","timestamp":1608854400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"EIT RawMaterials GmbH","award":["19018"],"award-info":[{"award-number":["19018"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Usually, substantial part of a mine haulage system is based on belt conveyors. Reliability of such system is significant in terms of mining operation continuity and profitability. Numerous methods for conveyor belt monitoring have been developed, although many of them require physical presence of the monitoring staff in the dangerous environment. In this paper, a remote sensing method for assessing a conveyor belt condition using the Terrestrial Laser Scanner (TLS) system has been described. For this purpose a methodology of semi-automatic processing of point cloud data for obtaining the belt geometry has been developed. The sample data has been collected in a test laboratory and processed with the proposed algorithms. Damaged belt surface areas have been successfully identified and edge defects were investigated. The proposed non-destructive testing methodology has been found to be suitable for monitoring the general condition of the conveyor belt and could be exceptionally successful and cost-effective if combined with an unmanned, robotic inspection system.<\/jats:p>","DOI":"10.3390\/rs13010055","type":"journal-article","created":{"date-parts":[[2020,12,25]],"date-time":"2020-12-25T09:30:19Z","timestamp":1608888619000},"page":"55","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":45,"title":["Damage Detection Based on 3D Point Cloud Data Processing from Laser Scanning of Conveyor Belt Surface"],"prefix":"10.3390","volume":"13","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-6486-1147","authenticated-orcid":false,"given":"Pawe\u0142","family":"Tryba\u0142a","sequence":"first","affiliation":[{"name":"Department of Mining and Geodesy, Faculty of Geoengineering, Mining and Geology, Wroc\u0142aw University of Science and Technology, Na Grobli 15, 50-421 Wroclaw, Poland"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2630-3459","authenticated-orcid":false,"given":"Jan","family":"Blachowski","sequence":"additional","affiliation":[{"name":"Department of Mining and Geodesy, Faculty of Geoengineering, Mining and Geology, Wroc\u0142aw University of Science and Technology, Na Grobli 15, 50-421 Wroclaw, Poland"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8802-9865","authenticated-orcid":false,"given":"Ryszard","family":"B\u0142a\u017cej","sequence":"additional","affiliation":[{"name":"Department of Mining and Geodesy, Faculty of Geoengineering, Mining and Geology, Wroc\u0142aw University of Science and Technology, Na Grobli 15, 50-421 Wroclaw, Poland"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4781-9972","authenticated-orcid":false,"given":"Rados\u0142aw","family":"Zimroz","sequence":"additional","affiliation":[{"name":"Department of Mining and Geodesy, Faculty of Geoengineering, Mining and Geology, Wroc\u0142aw University of Science and Technology, Na Grobli 15, 50-421 Wroclaw, Poland"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2020,12,25]]},"reference":[{"key":"ref_1","first-page":"3","article-title":"Local fault detection of rolling element bearing components by spectrogram clustering with Semi-Binary NMF","volume":"18","author":"Wodecki","year":"2017","journal-title":"Diagnostyka"},{"key":"ref_2","doi-asserted-by":"crossref","unstructured":"Wodecki, J., Michalak, A., Zimroz, R., and Wy\u0142oma\u0144ska, A. 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