{"id":5461,"date":"2023-12-20T15:03:27","date_gmt":"2023-12-20T15:03:27","guid":{"rendered":"https:\/\/www.intellimech.it\/?p=5461"},"modified":"2023-12-20T15:06:06","modified_gmt":"2023-12-20T15:06:06","slug":"nlp-for-maintenance-report-analysis-in-machine-tools","status":"publish","type":"post","link":"https:\/\/www.intellimech.it\/en\/nlp-for-maintenance-report-analysis-in-machine-tools\/","title":{"rendered":"NLP for Maintenance Report Analysis in Machine Tools"},"content":{"rendered":"<h2>Experiment description:<\/h2>\n<p>The decision support system developed in this experiment aims to facilitate the identification of faults in a machine. Maintenance, repair and troubleshooting normally demand the presence of an expert. However, the growing complexity of machines and the difficulty in finding skilled operators raises serious concerns in this regard. Currently, troubleshooting tools are developed as context-specific solutions and are often based on rigid and inefficient logic, hindering their adoption and use.<br \/>\nFASSI S.p.A., a hydraulic crane manufacturer and partner of Intellimech, currently uses a basic troubleshooting tool. It provided the maintenance reports&#8217; initial dataset and its knowledge to validate the proposed solution in a relevant environment.<\/p>\n<p><iframe loading=\"lazy\" title=\"AI REGIO_ NLP in Troubleshooting- SME driven experiment (Intellimech)\" width=\"500\" height=\"281\" src=\"https:\/\/www.youtube.com\/embed\/e6tvxecjamE?feature=oembed\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share\" referrerpolicy=\"strict-origin-when-cross-origin\" allowfullscreen><\/iframe><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Experiment description: The decision support system developed in this experiment aims to facilitate the identification of faults in a machine. Maintenance, repair and troubleshooting normally demand the presence of an expert. However, the growing complexity of machines and the difficulty in finding skilled operators raises serious concerns in this regard. Currently, troubleshooting tools are developed [&hellip;]<\/p>\n","protected":false},"author":4,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":true,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[44],"tags":[],"class_list":["post-5461","post","type-post","status-publish","format-standard","hentry","category-case-history-en"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v26.9 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\r\n<title>NLP for Maintenance Report Analysis in Machine Tools - Intellimech<\/title>\r\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\r\n<link rel=\"canonical\" href=\"https:\/\/www.intellimech.it\/en\/nlp-for-maintenance-report-analysis-in-machine-tools\/\" \/>\r\n<meta property=\"og:locale\" content=\"en_US\" \/>\r\n<meta property=\"og:type\" content=\"article\" \/>\r\n<meta property=\"og:title\" content=\"NLP for Maintenance Report Analysis in Machine Tools - Intellimech\" \/>\r\n<meta property=\"og:description\" content=\"Experiment description: The decision support system developed in this experiment aims to facilitate the identification of faults in a machine. Maintenance, repair and troubleshooting normally demand the presence of an expert. However, the growing complexity of machines and the difficulty in finding skilled operators raises serious concerns in this regard. Currently, troubleshooting tools are developed [&hellip;]\" \/>\r\n<meta property=\"og:url\" content=\"https:\/\/www.intellimech.it\/en\/nlp-for-maintenance-report-analysis-in-machine-tools\/\" \/>\r\n<meta property=\"og:site_name\" content=\"Intellimech\" \/>\r\n<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/Intellimech\/\" \/>\r\n<meta property=\"article:published_time\" content=\"2023-12-20T15:03:27+00:00\" \/>\r\n<meta property=\"article:modified_time\" content=\"2023-12-20T15:06:06+00:00\" \/>\r\n<meta name=\"author\" content=\"Annalisa\" \/>\r\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\r\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"Annalisa\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"1 minute\" \/>\r\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\/\/www.intellimech.it\/en\/nlp-for-maintenance-report-analysis-in-machine-tools\/#article\",\"isPartOf\":{\"@id\":\"https:\/\/www.intellimech.it\/en\/nlp-for-maintenance-report-analysis-in-machine-tools\/\"},\"author\":{\"name\":\"Annalisa\",\"@id\":\"https:\/\/www.intellimech.it\/#\/schema\/person\/6e88e9ea024c5dfdd343d819411f188c\"},\"headline\":\"NLP for Maintenance Report Analysis in Machine Tools\",\"datePublished\":\"2023-12-20T15:03:27+00:00\",\"dateModified\":\"2023-12-20T15:06:06+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\/\/www.intellimech.it\/en\/nlp-for-maintenance-report-analysis-in-machine-tools\/\"},\"wordCount\":125,\"publisher\":{\"@id\":\"https:\/\/www.intellimech.it\/#organization\"},\"articleSection\":[\"Case History\"],\"inLanguage\":\"en-US\"},{\"@type\":\"WebPage\",\"@id\":\"https:\/\/www.intellimech.it\/en\/nlp-for-maintenance-report-analysis-in-machine-tools\/\",\"url\":\"https:\/\/www.intellimech.it\/en\/nlp-for-maintenance-report-analysis-in-machine-tools\/\",\"name\":\"NLP for Maintenance Report Analysis in Machine Tools - 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