{"id":881,"date":"2022-11-05T22:08:47","date_gmt":"2022-11-05T22:08:47","guid":{"rendered":"https:\/\/www2.isep.ipp.pt\/softcps\/?p=881"},"modified":"2023-11-20T22:09:02","modified_gmt":"2023-11-20T22:09:02","slug":"smart-pdm-organizes-special-session-at-ieee-iecon-2022","status":"publish","type":"post","link":"https:\/\/www2.isep.ipp.pt\/softcps\/?p=881","title":{"rendered":"SMART-PDM organizes special session at IEEE IECON 2022"},"content":{"rendered":"\n

SMART-PDM participated in the organization of a special session on \ud835\udc08\ud835\udc27\ud835\udc1d\ud835\udc2e\ud835\udc2c\ud835\udc2d\ud835\udc2b\ud835\udc22\ud835\udc1a\ud835\udc25 \ud835\udc0f\ud835\udc2b\ud835\udc1e\ud835\udc1d\ud835\udc22\ud835\udc1c\ud835\udc2d\ud835\udc22\ud835\udc2f\ud835\udc1e \ud835\udc00\ud835\udc27\ud835\udc1a\ud835\udc25\ud835\udc32\ud835\udc2d\ud835\udc22\ud835\udc1c\ud835\udc2c\u00a0at the\u00a0IEEE\u00a0IECON 2022 conference<\/a>\u00a0in Brussels.<\/p>\n\n\n\n

The following papers were presented at the session:<\/strong><\/p>\n\n\n\n

    \n
  1. Condition Monitoring on Renewable Energy Production with Application to Wind Generation<\/strong><\/em> by Bet\u00fcl Sena \u00c7a\u011flar, Burak Ketmen, Bar\u0131\u015f Bulut<\/li>\n\n\n\n
  2. IoT Architecture and Solutions for Predictive Maintenance of Mobile Machinery<\/strong><\/em> by Jani Hietala, Kalle Raunio, Tero Jokinen, Petri Kaarmila<\/li>\n\n\n\n
  3. On Suitability of the Customized Measuring Device for Electric Motor <\/em><\/strong>by Rok Hribar, Ga\u0161per Petelin, Margarita Antoniou, Anton Biasizzo, Stanko Ciglari\u010d, Gregor Papa<\/li>\n\n\n\n
  4. An AI-based Architecture Framework for Improving End-of-line Reliability Tests of Electric Motors <\/strong><\/em>by Mujdat Soyturk, Kutalm\u0131\u015f Co\u015fkun, Onur Izmitlioglu, Borahan T\u00fcmer, Deniz G\u00fcne\u015f, Sinan Sara\u00e7o\u011flu, Bar\u0131\u015f Bulut, Hasan Burak Ketmen, \u0130smethan Hanedar, Ta\u015fdemir A\u015fan, Eray Ayd\u0131n<\/li>\n\n\n\n
  5. Improved Domain Adaptation Approach for Bearing Fault Diagnosis <\/strong><\/em>by Sertac Kilickaya, Turker Ince, Levent Eren, Serkan Kiranyaz, Moncef Gabbouj, Ozer Can Devecioglu<\/li>\n\n\n\n
  6. Improved Detection of Broken Rotor Bars by 1-D Self-ONNs <\/strong><\/em>by Levent Eren, Turker Ince, Murat Askar, Ozer Devecioglu<\/li>\n\n\n\n
  7. Investigation of Potting Compounds on Thermal-Fatigue properties of Solder Interconnects <\/strong><\/em>by Leiming Du, Xiujuan Zhao, Piet Watte, Rene Poelma, Guoqi Zhang, Willem Driel<\/li>\n\n\n\n
  8. An IoT Cloud and Big Data Architecture for the Maintenance of Home Appliances <\/em><\/strong>by Luis Ferreira, Tiago Fonseca, Orlando Sousa<\/li>\n\n\n\n
  9. Data-Centric Model Development to Improve the CNN Classification of Defect Density SEM Images <\/em><\/strong>by Corinna Kofler, Claudia Anna Dohr, Judith Dohr, Anja Zernig<\/li>\n<\/ol>\n\n\n\n

    The details of the special session were as follows:<\/strong><\/p>\n\n\n\n

    Organisations are continuously researching new strategies to improve the Overall Equipment Effectiveness (OEE) of their equipment, from highly complex and computerised industrial machines to refurbished equipment. This is now possible thanks to the high levels of automation and, particularly to innovative IoT solutions, the use of AI in manufacturing, PHM, digital twin and condition monitoring.<\/p>\n\n\n\n

    Particularly, maintenance costs vary between 15% and 70% of production or ownership costs, making maintenance an important cost to be reduced. Therefore, this session aims at addressing the main problems of designing industrial maintenance systems, from the collection of data from sensors to its analysis supported by advanced algorithms. The session targets all kinds of maintenance paradigms, from reactive to predictive and prescriptive, or any other kind of advanced maintenance concepts, with a strong focus on architectures and design.<\/p>\n\n\n\n

    Topics of interest include, but are not limited to:<\/p>\n\n\n\n