{"id":1604,"date":"2022-07-08T19:38:44","date_gmt":"2022-07-08T19:38:44","guid":{"rendered":"https:\/\/ieeecscai.wpengine.com\/2023\/?page_id=1604"},"modified":"2022-07-11T17:56:18","modified_gmt":"2022-07-11T17:56:18","slug":"phm-challenges","status":"publish","type":"page","link":"https:\/\/cai.ieee.org\/2023\/phm-challenges\/","title":{"rendered":"PHM CHALLENGES"},"content":{"rendered":"\t\t
\n\t\t\t\t\t\t
\n\t\t\t\t\t\t
\n\t\t\t\t\t
\n\t\t\t
\n\t\t\t\t\t\t
\n\t\t\t\t
\n\t\t\t\t\t

INDUSTRIAL AI
\nPHM CHALLENGES (using Aviation as an example)<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t
\n\t\t\t\t\t\t
\n\t\t\t\t\t
\n\t\t\t
\n\t\t\t\t\t\t
\n\t\t\t\t
\n\t\t\t\t\t\t\t\t\t

CHALLENGE AREAS<\/strong><\/span><\/h3>
  • Effective utilization of design models for Digital Twins and PHM<\/div><\/li>
  • Data availability (lagging utilization, limited segments of deployed fleets)<\/div><\/li><\/ul>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t
    \n\t\t\t\t\t\t
    \n\t\t\t\t\t
    \n\t\t\t
    \n\t\t\t\t\t\t
    \n\t\t\t\t
    \n\t\t\t\t\t\t\t\t\t

    TECHNOLOGY CHALLENGES<\/strong><\/span><\/h3>
    • Bootstrapping learning for early fleet experience<\/li>
    • Learning from previous engine lines<\/li>
    • Generalizing and modeling across varied global customer utilization\/data<\/li><\/ul><\/div>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t
      \n\t\t\t\t\t\t
      \n\t\t\t\t\t
      \n\t\t\t
      \n\t\t\t\t\t\t
      \n\t\t\t\t
      \n\t\t\t\t\t\t\t\t\t

      BUSINESS CHALLENGES<\/strong><\/span><\/h3>
      • Spares management\/risk of maintenance causing grounded aircraft<\/div><\/li>
      • Data valuation for negotiation in contractual service agreements<\/div><\/li><\/ul>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t
        \n\t\t\t\t\t\t
        \n\t\t\t\t\t
        \n\t\t\t
        \n\t\t\t\t\t\t
        \n\t\t\t\t
        \n\t\t\t\t\t\t\t\t\t

        SOLUTIONS ATTENDEES MIGHT WANT TO KNOW<\/strong><\/span><\/h3>
        • Digital Maintenance, Repair and Operations (MRO) tools for proactive scheduled maintenance<\/div><\/li>
        • Spares pool management tools<\/div><\/li>
        • Health forecasting with mixed known and unknown failure modes<\/div><\/li><\/ul>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t
          \n\t\t\t\t\t\t
          \n\t\t\t\t\t
          \n\t\t\t
          \n\t\t\t\t\t\t
          \n\t\t\t\t
          \n\t\t\t\t\t\t\t\t\t

          TAKE AWAY FROM THIS TOPIC<\/strong><\/span><\/h3>
          • AI for Aviation should see some problems fall away with improved communication tech (5G+) to expedite and grow data availability\u2026 but other problems (particularly for early fleet experience) are still very much unsolved<\/div><\/li>
          • Unlike other sectors, risk can be quantified very explicitly for the purposes of financial decision-making (for initial and growth investments)<\/div><\/li><\/ul>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"

            INDUSTRIAL AI PHM CHALLENGES (using Aviation as an example) CHALLENGE AREAS Effective utilization of design models for Digital Twins and PHM Data availability (lagging utilization, limited segments of deployed fleets) TECHNOLOGY CHALLENGES Bootstrapping learning for early fleet experience Learning from previous engine lines Generalizing and modeling across varied global customer utilization\/data BUSINESS CHALLENGES Spares management\/risk […]<\/p>\n","protected":false},"author":5,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"elementor_header_footer","meta":{"footnotes":"","_members_access_role":[],"_members_access_error":""},"class_list":["post-1604","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/cai.ieee.org\/2023\/wp-json\/wp\/v2\/pages\/1604","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/cai.ieee.org\/2023\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/cai.ieee.org\/2023\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/cai.ieee.org\/2023\/wp-json\/wp\/v2\/users\/5"}],"replies":[{"embeddable":true,"href":"https:\/\/cai.ieee.org\/2023\/wp-json\/wp\/v2\/comments?post=1604"}],"version-history":[{"count":0,"href":"https:\/\/cai.ieee.org\/2023\/wp-json\/wp\/v2\/pages\/1604\/revisions"}],"wp:attachment":[{"href":"https:\/\/cai.ieee.org\/2023\/wp-json\/wp\/v2\/media?parent=1604"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}