{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/a-dissimilarity-based-approach-to-predictive","title":"A dissimilarity-based approach to predictive maintenance with application to HVAC systems","arxiv_id":"1701.03633","date":"2017-01-13","proceeding":null,"authors":["Riccardo Satta","Stefano Cavallari","Eraldo Pomponi","Daniele Grasselli","Davide Picheo","Carlo Annis"],"abstract":"The goal of predictive maintenance is to forecast the occurrence of faults of\nan appliance, in order to proactively take the necessary actions to ensure its\navailability. In many application scenarios, predictive maintenance is applied\nto a set of homogeneous appliances. In this paper, we firstly review taxonomies\nand main methodologies currently used for condition-based maintenance;\nsecondly, we argue that the mutual dissimilarities of the behaviours of all\nappliances of this set (the \"cohort\") can be exploited to detect upcoming\nfaults. Specifically, inspired by dissimilarity-based representations, we\npropose a novel machine learning approach based on the analysis of concurrent\nmutual differences of the measurements coming from the cohort. We evaluate our\nmethod over one year of historical data from a cohort of 17 HVAC (Heating,\nVentilation and Air Conditioning) systems installed in an Italian hospital. We\nshow that certain kinds of faults can be foreseen with an accuracy, measured in\nterms of area under the ROC curve, as high as 0.96.","url_abs":"http://arxiv.org/abs/1701.03633v1","url_pdf":"http://arxiv.org/pdf/1701.03633v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"a-dissimilarity-based-approach-to-predictive","repo_url":"https://github.com/smrjan/predictive-maintainance","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":{"status":"ok"}}],"tasks":[],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"syntology_url":null,"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}