{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,28]],"date-time":"2026-02-28T18:23:46Z","timestamp":1772303026988,"version":"3.50.1"},"reference-count":43,"publisher":"MDPI AG","issue":"4","license":[{"start":{"date-parts":[[2022,2,18]],"date-time":"2022-02-18T00:00:00Z","timestamp":1645142400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/100007421","name":"Li Ka Shing Foundation","doi-asserted-by":"publisher","award":["2020LKSFG06D"],"award-info":[{"award-number":["2020LKSFG06D"]}],"id":[{"id":"10.13039\/100007421","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Huaneng Power International Co. Ltd, China","award":["HM-19KA03005"],"award-info":[{"award-number":["HM-19KA03005"]}]},{"name":"Huaneng Shantou Haimen Power Generation Co. Ltd, China","award":["HZ-19ZC03-020"],"award-info":[{"award-number":["HZ-19ZC03-020"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>Industrial pipework maintenance inspection can be automated through machine vision-based effusion monitoring. However, colorless effusions such as water can be difficult to detect in a complex industrial environment due to weak illumination and poor visibility of the background. This paper deploys the reflective characteristics of effusion and its lower temperature compared to the environment in order to develop an automatic inspection system for power plant pipeworks\u2019 maintenance. Such a system is aimed at detecting the colorless fluid effusion based on dual source images and a contour features algorithm. In this respect, a visible light source unit highlights the reflective features of the effusion edge. Meanwhile, high-definition images of the potential effusion are acquired under both visible and infrared lights. A customized image processing procedure extracts the potential effusion features from the infrared image to retrieve the region of interest for segmentation purposes and transfer such information to the visible light image to determine the effusion contour. Finally, a decision-making support tool based on the image contour closure is enabled for classification purposes. The implementation of the proposed system is tested on a real industrial environment. Experimental results show a classification accuracy up to 99%, demonstrating excellent suitability in meeting industrial requirements.<\/jats:p>","DOI":"10.3390\/s22041588","type":"journal-article","created":{"date-parts":[[2022,2,21]],"date-time":"2022-02-21T08:23:29Z","timestamp":1645431809000},"page":"1588","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":12,"title":["A Machine Vision\u2014Based Pipe Leakage Detection System for Automated Power Plant Maintenance"],"prefix":"10.3390","volume":"22","author":[{"given":"Nengsheng","family":"Bao","sequence":"first","affiliation":[{"name":"Department of Mechanical Engineering, Shantou University, 243 Daxue Road, Shantou 515063, China"},{"name":"Intelligent Manufacturing Key Laboratory of Ministry of Education, Shantou University, 243 Daxue Road, Shantou 515063, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6637-7711","authenticated-orcid":false,"given":"Yuchen","family":"Fan","sequence":"additional","affiliation":[{"name":"Department of Mechanical Engineering, Shantou University, 243 Daxue Road, Shantou 515063, China"},{"name":"Intelligent Manufacturing Key Laboratory of Ministry of Education, Shantou University, 243 Daxue Road, Shantou 515063, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zihao","family":"Ye","sequence":"additional","affiliation":[{"name":"Department of Mechanical Engineering, Shantou University, 243 Daxue Road, Shantou 515063, China"},{"name":"Intelligent Manufacturing Key Laboratory of Ministry of Education, Shantou University, 243 Daxue Road, Shantou 515063, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8617-2721","authenticated-orcid":false,"given":"Alessandro","family":"Simeone","sequence":"additional","affiliation":[{"name":"Department of Management and Production Engineering, Politecnico di Torino, Corso Duca degli Abruzzi 24, 10129 Turin, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2022,2,18]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"902","DOI":"10.1016\/j.rser.2016.08.024","article-title":"A pressure-based method for monitoring leaks in a pipe distribution system: A Review","volume":"69","author":"Abdulshaheed","year":"2017","journal-title":"Renew. 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