{"id":1371,"date":"2022-01-19T09:58:23","date_gmt":"2022-01-19T08:58:23","guid":{"rendered":"https:\/\/idefics.fr\/?post_type=projets&p=1371"},"modified":"2023-02-14T15:30:36","modified_gmt":"2023-02-14T14:30:36","slug":"predictive-maintenance-and-anomaly-detection","status":"publish","type":"projets","link":"https:\/\/idefics.fr\/en\/projets\/predictive-maintenance-and-anomaly-detection\/","title":{"rendered":"Predictive maintenance and anomaly detection"},"content":{"rendered":"
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\r\n The company\r\n
<\/div>\r\n <\/div>\r\n \r\n <\/h2>\r\n\r\n
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Skiply<\/a>, a Savoy-based company, offers solutions for customer experience improvement, facility management and process automation thanks to its smart buttons and satisfaction terminals.<\/p>\n\r\n <\/div>\r\n <\/div>\r\n <\/div>\r\n <\/div>\r\n <\/div>\r\n\n\n

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\r\n Objectives \r\n
<\/div>\r\n <\/div>\r\n
of the project<\/div>\r\n \r\n <\/h2>\r\n\r\n
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Skiply’s project is made of two main points:<\/p>\n

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  • Carry out a study of predictive maintenance solutions to anticipate the failure of batteries in smart boxes.<\/li>\n
  • Study the development of an automatic anomaly detection system to measure customer satisfaction.<\/li>\n<\/ul>\n\r\n <\/div>\r\n <\/div>\r\n <\/div>\r\n <\/div>\r\n <\/div>\r\n\n\n
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    \r\n \"image_skiply\"\r\n \"borne-satisfaction-signature-carr\u00e9\"\r\n <\/div>\r\n <\/div>\r\n\n\n
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    \r\n
    \r\n Description\r\n
    <\/div>\r\n <\/div>\r\n
    of the project<\/div>\r\n \r\n <\/h2>\r\n\r\n
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    \r\n Type of service \r\n <\/h3>\r\n \r\n
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    Study service<\/p>\n\r\n <\/div>\r\n <\/div>\r\n

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    \r\n Development of the project\r\n <\/h3>\r\n \r\n
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    This 6-month project combines the intervention of a USMB LISTIC researcher, an IDEFICS engineer and the provision of computer resources within the MUST digital platform.<\/p>\n\r\n <\/div>\r\n <\/div>\r\n

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    \r\n Results and perspectives\r\n <\/h3>\r\n \r\n
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    The first phase of the project, which concerned predictive maintenance<\/strong>, began with a transfer of skills, followed by a study on data structuring and finally the implementation of a first AI solution allowing the classification of batteries according to their state.
    \nThe second phase of the project, which is still under study, is intended firstly to detect<\/strong> battery anomalies and then to predict<\/strong> failures, which will make it possible to initiate predictive maintenance.
    \nThis second project, which has not yet been developed, would involve an IDEFICS engineer, a researcher and an engineering school trainee.<\/p>\n\r\n <\/div>\r\n <\/div>\r\n <\/div>\r\n <\/div>\r\n <\/div>\r\n\n\n

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    \r\n
    \r\n \"LogoIDEFICS_Image\"\r\n <\/div>\r\n
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    \r\n IDEFICS engineer\r\n <\/div>\r\n
    \r\n \r\n <\/div>\r\n <\/div>\r\n <\/div>\r\n
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    \r\n \"Icone\r\n <\/div>\r\n
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    \r\n LISTIC researcher\r\n <\/div>\r\n
    \r\n \r\n <\/div>\r\n <\/div>\r\n <\/div>\r\n
    \r\n
    \r\n \"Logo\r\n <\/div>\r\n
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    \r\n Skiply Supervisor\r\n <\/div>\r\n
    \r\n \r\n <\/div>\r\n <\/div>\r\n <\/div>\r\n
    \r\n
    \r\n \"MUST-Web-DSC02212\"\r\n <\/div>\r\n
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    \r\n MUST Platform’s team\r\n <\/div>\r\n
    \r\n In support\r\n <\/div>\r\n <\/div>\r\n <\/div>\r\n <\/div>\r\n <\/div>\r\n","protected":false},"featured_media":1375,"template":"","cat_projets":[39,22],"acf":[],"_links":{"self":[{"href":"https:\/\/idefics.fr\/en\/wp-json\/wp\/v2\/projets\/1371"}],"collection":[{"href":"https:\/\/idefics.fr\/en\/wp-json\/wp\/v2\/projets"}],"about":[{"href":"https:\/\/idefics.fr\/en\/wp-json\/wp\/v2\/types\/projets"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/idefics.fr\/en\/wp-json\/wp\/v2\/media\/1375"}],"wp:attachment":[{"href":"https:\/\/idefics.fr\/en\/wp-json\/wp\/v2\/media?parent=1371"}],"wp:term":[{"taxonomy":"cat_projets","embeddable":true,"href":"https:\/\/idefics.fr\/en\/wp-json\/wp\/v2\/cat_projets?post=1371"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}