AI Factory: Theories, Applications and Case Studies
暫譯: AI 工廠：理論、應用與案例研究

本書提供了如何在工業環境中接觸和利用與人工智慧（AI）相關的數據科學工具、技術和方法論的見解。它解釋了分散式計算和AI技術的本質及其相互關聯。書中包括了各種技術和方法論的描述，以及在工業環境中開發AI解決方案時的目的和好處。此外，本書總結了來自多個工業領域的AI技術部署項目的經驗。

特色：
- 提供工業AI和數位化方法論及技術的彙編。
- 說明從感測器到執行的完整循環，定義並區分AI和數位化。
- 涵蓋資產管理領域內廣泛的學術和工業問題。
- 討論工業4.0在其他領域的影響。
- 包含專門針對即時案例研究的章節。

本書的目標讀者為工業和軟體工程、網路安全、AI和機器學習（ML）領域的研究人員和專業人士、工程經理、運營和維護專家、資產管理者，以及數位和AI製造專家。

Ramin Karim has a PhD in Operation and Maintenance Engineering with specialisation in Industrial AI and eMaintenance. Currently, he is a Professor of Operation and Maintenance Engineering at Lulea University and Director of the Centre of Maintenance and Industrial Services. He gained more than 15 years of work experience in the IT industry after obtaining his degree in Computer Science. He is the head of the eMaintenance LAB, an applied laboratory for research and innovation in Industrial AI and eMaintenance. His research interests include AI, digitalisation, asset management, enhanced hybrid analytics (based on model-driven and data-driven approaches), and predictive technology in industrial asset management.

Professor Karim initiated and developed the concept and platform called AI Factory, a universal concept for cross-industrial data and model sharing based on digital and AI technologies. Today, the toolkit of AI Factory has been adapted to several industrial sectors, including railway, mining, construction, and aviation. With his creative thinking and innovation-driven personality, Professor Karim has demonstrated how excellence in research can lead to sustainable development in society and benefits for business. This is in the context of digitalisation, Industrial AI, and eMaintenance. With his commitment, goal-oriented action, innovative thinking, and enthusiasm, he has created a dynamic research environment that has been a model for useful research.

His research results have resulted in a number of innovations. Professor Karim is the founder of a spin-off company from LTU, Predge AB (formerly eMaintenance365 AB), which provides advanced analytics based on cloud/edge technologies and AI. The company has been listed on Swedish "33-listan", a list of the most promising start-ups in Sweden, two years in a row.

Professor Karim's research has attracted national and international attention. He is an in-demand lecturer and advisor in various contexts. Some of these are: (i) Industrial Advisory Board of IMS Center in the USA; (ii) VALE (Brazil Mining Company); (iii) Swedish-Brazilian Research and Innovation Centre; (iv) Future Committee of the National Organisation of Swedish Maintenance; and (v) Board member of the Sustainability Circle. His work has attracted the attention of the Organisation for Economic Co-operation and Development (OECD). On behalf of OCED, he produced a report for policymakers, focusing on data-driven technology and solutions in transport.

Furthermore, Professor Karim's research results with respect to AI Factory have been recognised two years in a row on IVA's 100 list in 2020 and 2021. The list includes projects with the potential to create benefits in the foreseeable future through industrial commercialisation, business and method development and societal impact.

Diego Galar is a Full Professor of Condition Monitoring in the Division of Operation and Maintenance Engineering at Lulea University of Technology where he is coordinating several H2020 projects related to different aspects of cyber physical systems, Industry 4.0, Internet of Things (IoT), Industrial AI, and Big Data. He was involved in the SKF UTC Centre located in Lulea focused on SMART bearings and has been actively involved in national projects with the Swedish industry or funded by Swedish national agencies like Vinnova.

He is the principal researcher at Tecnalia (Spain), heading the Maintenance and Reliability research group within the Division of Industry and Transport.

Professor Diego has authored more than 500 journal and conference papers, books, and technical

reports in the field of maintenance, working also as a member of editorial boards and scientific committees, chairing international journals and conferences, and actively participating in national and international committees for standardisation and R&D in the topics of reliability and maintenance.

In the international arena, Professor Galar has been a visiting Professor at Polytechnic of Braganza (Portugal), University of Valencia, NIU (USA), and Universidad Pontificia Catolica de Chile. Currently, he is a visiting professor at University of Sunderland (UK), University of Maryland (USA), and Chongqing University in China.

Uday Kumar is the Chair Professor of Operation and Maintenance Engineering, Director of Research and Innovation (Sustainable Transport) at Lulea University of Technology, and Director of Lulea Railway Research Center.

His teaching, research, and consulting interests are equipment maintenance, reliability and maintainability analysis, product support, lifecycle costing (LCC), risk analysis, system analysis, eMaintenance, asset management, etc.

He has been visiting faculty at the Center of Intelligent Maintenance System (IMS), a centre sponsored by National Science Foundation, Cincinnati, USA, since 2011. He is also an external examiner and program reviewer for the Reliability and Asset Management Program at University of Manchester, Distinguished Visiting Professor at Tsinghua University Beijing, and Honorary Professor at Beijing Jiaotong University, Beijing, among others. Earlier he was visiting faculty at Imperial College London, Helsinki University of Technology, Helsinki, and University of Stavanger, Norway, among others.

Professor Kuman has more than 30 years of experience in consulting and finding solutions to industrial problems directly or indirectly related to maintenance of engineering assets. He has published more than 300 papers in international journals and conference proceedings dealing with various aspects of maintenance of engineering systems, co-authored four books on maintenance engineering, and contributed to World Encyclopaedia on risk management.

He is an elected member of the Royal Swedish Academy of Engineering Sciences.

拉敏·卡里姆擁有運作與維護工程的博士學位，專攻工業人工智慧（Industrial AI）和電子維護（eMaintenance）。目前，他是盧勒奧科技大學運作與維護工程的教授，並擔任維護與工業服務中心的主任。在獲得計算機科學學位後，他在IT產業擁有超過15年的工作經驗。他是電子維護實驗室（eMaintenance LAB）的負責人，該實驗室專注於工業人工智慧和電子維護的研究與創新。他的研究興趣包括人工智慧、數位化、資產管理、增強混合分析（基於模型驅動和數據驅動的方法）以及工業資產管理中的預測技術。

卡里姆教授發起並開發了名為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工業數據和模型共享的通用概念。如今，AI Factory的工具包已適應多個工業領域，包括鐵路、採礦、建築和航空。憑藉其創造性思維和以創新為驅動的個性，卡里姆教授展示了研究卓越如何促進社會的可持續發展並為商業帶來益處，這是在數位化、工業人工智慧和電子維護的背景下。憑藉他的承諾、目標導向的行動、創新思維和熱情，他創造了一個充滿活力的研究環境，成為有用研究的典範。

他的研究成果帶來了多項創新。卡里姆教授是LTU的衍生公司Predge AB（前身為eMaintenance365 AB）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。該公司連續兩年入選瑞典的「33-listan」，這是一份瑞典最具潛力的初創企業名單。

卡里姆教授的研究吸引了國內外的關注。他在各種場合中都是需求量大的講師和顧問。其中一些包括：(i) 美國IMS中心的工業諮詢委員會；(ii) VALE（巴西礦業公司）；(iii) 瑞典-巴西研究與創新中心；(iv) 瑞典國家維護組織的未來委員會；以及(v) 可持續發展圈的董事會成員。他的工作引起了經濟合作與發展組織（OECD）的注意。代表OECD，他為政策制定者撰寫了一份報告，重點關注運輸中的數據驅動技術和解決方案。

此外，卡里姆教授關於AI Factory的研究成果在2020年和2021年連續兩年被IVA的100名單認可。該名單包括具有潛力在可預見的未來通過工業商業化、業務和方法開發及社會影響創造益處的項目。

迭戈·加拉爾是盧勒奧科技大學運作與維護工程系的全職教授，負責協調多個與網絡物理系統、工業4.0、物聯網（IoT）、工業人工智慧和大數據相關的H2020項目。他曾參與位於盧勒奧的SKF UTC中心，專注於智能軸承，並積極參與瑞典工業或由瑞典國家機構如Vinnova資助的國家項目。

他是西班牙Tecnalia的首席研究員，負責工業與運輸部門的維護與可靠性研究小組。

加拉爾教授在維護領域已發表超過500篇期刊和會議論文、書籍及技術報告，並擔任編輯委員會和科學委員會的成員，主持國際期刊和會議，並積極參與國內外的標準化和研發委員會，專注於可靠性和維護主題。

在國際舞台上，加拉爾教授曾擔任布拉干薩理工學院（葡萄牙）、瓦倫西亞大學、NIU（美國）和智利天主教大學的訪問教授。目前，他是薩德蘭大學（英國）、馬里蘭大學（美國）和重慶大學（中國）的訪問教授。

烏代·庫馬爾是盧勒奧科技大學運作與維護工程的講座教授、可持續交通研究與創新主任，以及盧勒奧鐵路研究中心的主任。

他的教學、研究和諮詢興趣包括設備維護、可靠性和可維護性分析、產品支持、生命周期成本（LCC）、風險分析、系統分析、電子維護、資產管理等。

自2011年以來，他一直是美國辛辛那提國家科學基金會贊助的智能維護系統中心（IMS）的訪問教員。他還是曼徹斯特大學可靠性與資產管理計劃的外部考官和課程審查員，清華大學（北京）的特聘訪問教授，以及北京交通大學的名譽教授等。早期，他曾在倫敦帝國學院、赫爾辛基科技大學和挪威斯塔萬格大學等地擔任訪問教員。

庫馬爾教授在諮詢和解決與工程資產維護直接或間接相關的工業問題方面擁有超過30年的經驗。他在國際期刊和會議論文中發表了超過300篇有關工程系統維護的各個方面的論文，合著了四本有關維護工程的書籍，並為世界風險管理百科全書作出了貢獻。

他是瑞典皇家工程科學院的當選成員。