相關主題
商品描述
This proceedings brings together the papers presented at the International Congress and Workshop on Industrial AI and eMaintenance 2023 (IAI2023). The conference integrates the themes and topics of three conferences: Industrial AI & eMaintenance, Condition Monitoring and Diagnostic Engineering Management (COMADEM) and, Advances in Reliability, Maintainability and Supportability (ARMS) on a single platform. This proceedings serves both academy and industry in providing an excellent platform for collaboration by providing a forum for exchange of ideas and networking.
The 21st century has seen remarkable progress in Artificial Intelligence, with application to a variety of fields (computer vision, automatic translation, sentiment analysis in social networks, robotics, etc.) The IAI2023 focuses on Industrial Artificial Intelligence, or IAI. The emergence of industrial AI applications holds tremendous promises in terms of achieving excellence and cost-effectiveness in the operation and maintenance of industrial assets. Opportunities in Industrial AI exist in many industries such as aerospace, railways, mining, construction, process industry, etc. Its development is powered by several trends: the Internet of Things (IoT); the increasing convergence between OT (operational technologies) and IT (information technologies); last but not least, the unabated fast-paced developments of advanced analytics. However, numerous technical and organizational challenges to the widespread development of industrial AI still exist.
The IAI2023 conference and its proceedings foster fruitful discussions between AI creators and industrial practitioners.
商品描述(中文翻譯)
本次會議錄匯集了在2023年國際工業人工智慧與電子維護研討會（IAI2023）上所發表的論文。此次會議整合了三個會議的主題與議題：工業人工智慧與電子維護、狀態監測與診斷工程管理（COMADEM），以及可靠性、可維護性與支援性進展（ARMS），並在單一平台上進行。這份會議錄為學術界和產業界提供了一個卓越的合作平台，促進思想交流和人脈建立。
21世紀見證了人工智慧的顯著進展，應用於多個領域（計算機視覺、自動翻譯、社交網絡中的情感分析、機器人技術等）。IAI2023專注於工業人工智慧，或稱IAI。工業AI應用的出現在工業資產的運營和維護方面帶來了卓越和成本效益的巨大潛力。航空航天、鐵路、採礦、建築、流程工業等多個行業中都存在工業AI的機會。其發展受到幾個趨勢的推動：物聯網（IoT）；運營技術（OT）與信息技術（IT）之間日益增強的融合；最後但同樣重要的是，先進分析技術的快速發展。然而，工業AI的廣泛發展仍面臨許多技術和組織挑戰。
IAI2023會議及其會議錄促進了AI創造者與工業實踐者之間的富有成效的討論。
作者簡介
Uday Kumar, PhD, is the Chair Professor of Operation and Maintenance Engineering, and Director of Luleå Railway Research Center. He has more than 30 years of experience in consulting and finding solutions to industrial problems related to maintenance of engineering assets. He has a wide range of interests in equipment maintenance, reliability and maintainability analysis, product support, life cycle costing, risk analysis, system analysis, eMaintenance, and asset management. He has been involved in many EU framework projects, published more than 300 papers in International Journals and Conference Proceedings and co-authored four books on maintenance engineering and management. He is an elected member of the Swedish Royal Academy of Engineering Sciences.
Prof. Ramin Karim is a Professor of Operation and Maintenance Engineering at Luleå University and Director of the Centre of Intelligent Asset Management. He has 15 years of experience in IT industry after obtaining hisdegree in computer science. He is responsible for the eMaintenance LAB, an applied laboratory for research and innovation in Industrial AI and eMaintenance. His research interest includes data analytics and predictive technology closely connected to operation and maintenance of industrial assets.
Prof. Karim has initiated and developed the concept and platform called 'AI Factory', which is a universal concept for cross-industry data and model sharing based on digital and AI technologies. He is the founder of a spin-off company from LTU, which provides advanced analytics based on cloud/edge-technologies and artificial intelligence. Professor Karim has demonstrated how excellence in research can lead to sustainable development in society and benefits for business, through his innovative thinking and commitment to his research in digitalization, Industrial AI and eMaintenance. He has received recognition for his research results, and has been an in-demand lecturer and advisor in various contexts. His research results have been recognized two years in a row on IVA's 100 list in 2020 and 2021.
作者簡介(中文翻譯)
Uday Kumar博士是運營與維護工程的講座教授，並擔任Luleå鐵路研究中心的主任。他在顧問和解決與工程資產維護相關的工業問題方面擁有超過30年的經驗。他對設備維護、可靠性和可維護性分析、產品支持、生命週期成本、風險分析、系統分析、電子維護（eMaintenance）和資產管理等領域有廣泛的興趣。他參與了許多歐盟框架計畫，並在國際期刊和會議論文集中發表了300多篇論文，並共同撰寫了四本有關維護工程和管理的書籍。他是瑞典皇家工程科學院的當選成員。
Ramin Karim教授是Luleå大學的運營與維護工程教授，並擔任智能資產管理中心的主任。他在獲得計算機科學學位後，擁有15年的IT行業經驗。他負責電子維護實驗室（eMaintenance LAB），這是一個專注於工業人工智慧和電子維護的應用研究和創新實驗室。他的研究興趣包括與工業資產的運營和維護密切相關的數據分析和預測技術。
Karim教授發起並開發了一個名為「AI Factory」的概念和平台，這是一個基於數位和人工智慧技術的跨行業數據和模型共享的通用概念。他是LTU的一家衍生公司的創始人，該公司提供基於雲端/邊緣技術和人工智慧的先進分析。Karim教授展示了卓越的研究如何促進社會的可持續發展並為商業帶來益處，這得益於他在數位化、工業人工智慧和電子維護方面的創新思維和對研究的承諾。他的研究成果獲得了認可，並在各種場合中成為受歡迎的講師和顧問。他的研究成果在2020年和2021年連續兩年被IVA的100大名單所認可。
