{"id":3809,"date":"2022-03-22T11:02:05","date_gmt":"2022-03-22T11:02:05","guid":{"rendered":"https:\/\/ingenium.uclm.es\/?p=3809"},"modified":"2022-03-22T11:03:12","modified_gmt":"2022-03-22T11:03:12","slug":"alba-munoz-has-presented-pattern-recognition-on-railway-points-with-machine-learning-a-real-case-study-in-icuis-2022","status":"publish","type":"post","link":"https:\/\/ingenium.uclm.es\/index.php\/2022\/03\/22\/alba-munoz-has-presented-pattern-recognition-on-railway-points-with-machine-learning-a-real-case-study-in-icuis-2022\/","title":{"rendered":"Alba Mu\u00f1oz has presented \u00abPattern recognition on railway points with Machine Learning: A Real Case Study\u00bb in ICUIS 2022"},"content":{"rendered":"<p>The 2nd International Conference on Ubiquitous Computing and Intelligent Information Systems (ICUIS 2022) was organized by Shree Venkateshwara Hi-Tech Engineering College, Tamil Nadu, India on 10-11, March 2022. ICUIS aims to develop a new research forum for researchers, academicians and industrialist to share and exchange their potential insights on the design, implementation and analysis of ubiquitous computing models in intelligent information systems.<\/p>\n<p>Ingenium Research Group has participated with several works. Alba Mu\u00f1oz has presented the paper titled \u00abPattern recognition on railway points with Machine Learning: A Real Case Study\u00bb.\u00a0Railway points are crucial components to ensure the reliability of railway networks. Several types of condition monitoring systems are widely applied in the industry with the aim of early fault detection, since the presence of faults can cause reductions in operational safety, delays and increased maintenance costs. The application of fault detection systems and pattern recognition tools is essential to ensure new improvements in the industry. The novelty proposed in this work is the application of statistical analysis and Machine Learning techniques in power curves defined by the movement of the motors in the opening and closing movements. The Shapelets algorithm is selected for pattern recognition, analyzing curves with abnormal distribution that demonstrate the presence of faults. The results provide high accuracy with performance measures above 90%.<\/p>\n<p><img fetchpriority=\"high\" decoding=\"async\" class=\"aligncenter wp-image-3810 size-large\" src=\"https:\/\/ingenium.uclm.es\/wp-content\/uploads\/2022\/03\/Presentacion-Alba-ICUIS-1024x582.jpg\" alt=\"\" width=\"1024\" height=\"582\" srcset=\"https:\/\/ingenium.uclm.es\/wp-content\/uploads\/2022\/03\/Presentacion-Alba-ICUIS-1024x582.jpg 1024w, https:\/\/ingenium.uclm.es\/wp-content\/uploads\/2022\/03\/Presentacion-Alba-ICUIS-300x170.jpg 300w, https:\/\/ingenium.uclm.es\/wp-content\/uploads\/2022\/03\/Presentacion-Alba-ICUIS-768x436.jpg 768w, https:\/\/ingenium.uclm.es\/wp-content\/uploads\/2022\/03\/Presentacion-Alba-ICUIS.jpg 1044w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/><\/p>\n","protected":false},"excerpt":{"rendered":"<p>The 2nd International Conference on Ubiquitous Computing and Intelligent Information Systems (ICUIS 2022) was organized by Shree Venkateshwara Hi-Tech Engineering College, Tamil Nadu, India on 10-11, March 2022. ICUIS aims to develop a new research forum for researchers, academicians and industrialist to share and exchange their potential insights on the design, implementation and analysis of&hellip;<\/p>\n","protected":false},"author":1,"featured_media":3810,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[2],"tags":[13,99,266],"class_list":["post-3809","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-news","tag-machine-learning","tag-maintenance","tag-railway"],"_links":{"self":[{"href":"https:\/\/ingenium.uclm.es\/index.php\/wp-json\/wp\/v2\/posts\/3809","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/ingenium.uclm.es\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/ingenium.uclm.es\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/ingenium.uclm.es\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/ingenium.uclm.es\/index.php\/wp-json\/wp\/v2\/comments?post=3809"}],"version-history":[{"count":2,"href":"https:\/\/ingenium.uclm.es\/index.php\/wp-json\/wp\/v2\/posts\/3809\/revisions"}],"predecessor-version":[{"id":3812,"href":"https:\/\/ingenium.uclm.es\/index.php\/wp-json\/wp\/v2\/posts\/3809\/revisions\/3812"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/ingenium.uclm.es\/index.php\/wp-json\/wp\/v2\/media\/3810"}],"wp:attachment":[{"href":"https:\/\/ingenium.uclm.es\/index.php\/wp-json\/wp\/v2\/media?parent=3809"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/ingenium.uclm.es\/index.php\/wp-json\/wp\/v2\/categories?post=3809"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/ingenium.uclm.es\/index.php\/wp-json\/wp\/v2\/tags?post=3809"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}