商品描述
This book provides insights into how to approach and utilise data science tools, technologies, and methodologies related to artificial intelligence (AI) in industrial contexts. It explains the essence of distributed computing and AI technologies and their interconnections. It includes descriptions of various technology and methodology approaches and their purpose and benefits when developing AI solutions in industrial contexts. In addition, this book summarises experiences from AI technology deployment projects from several industrial sectors.
Features:
- Presents a compendium of methodologies and technologies in industrial AI and digitalisation.
- Illustrates the sensor-to-actuation approach showing the complete cycle, which defines and differentiates AI and digitalisation.
- Covers a broad range of academic and industrial issues within the field of asset management.
- Discusses the impact of Industry 4.0 in other sectors.
- Includes a dedicated chapter on real-time case studies.
This book is aimed at researchers and professionals in industrial and software engineering, network security, AI and machine learning (ML), engineering managers, operational and maintenance specialists, asset managers, and digital and AI manufacturing specialists.
商品描述(中文翻譯)
本書提供了如何在工業環境中應用和利用與人工智慧（AI）相關的數據科學工具、技術和方法的見解。它解釋了分散計算和AI技術的本質及其相互關聯。它包括對各種技術和方法論途徑的描述，以及在工業環境中開發AI解決方案時的目的和好處。此外，本書還總結了來自幾個工業部門的AI技術部署項目的經驗。
特點：
- 提供了工業AI和數字化的方法和技術的彙編。
- 以傳感器到執行的方法來說明完整的循環，這定義和區分了AI和數字化。
- 涵蓋了資產管理領域的廣泛學術和工業問題。
- 討論了工業4.0對其他行業的影響。
- 包括一個專門介紹實時案例研究的章節。
本書針對工業和軟件工程、網絡安全、AI和機器學習（ML）、工程管理人員、運維專家、資產管理人員以及數字和AI製造專家的研究人員和專業人士。
作者簡介
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.
作者簡介(中文翻譯)
Ramin Karim擁有工業人工智慧和電子維護專業的操作和維護工程博士學位。目前，他是Lulea大學操作和維護工程學教授，並擔任維護和工業服務中心的主任。在獲得計算機科學學位後，他在IT行業擁有超過15年的工作經驗。他是eMaintenance LAB的負責人，該實驗室致力於工業人工智慧和電子維護的研究和創新。他的研究興趣包括人工智慧、數字化、資產管理、增強型混合分析（基於模型驅動和數據驅動方法）、以及工業資產管理中的預測技術。
Karim教授發起並開發了名為AI Factory的概念和平台，該平台基於數字和人工智慧技術，用於跨工業數據和模型共享。如今，AI Factory的工具包已經適應了包括鐵路、礦業、建築和航空在內的多個工業領域。憑藉其創造性思維和創新驅動的個性，Karim教授展示了卓越的研究如何引領社會的可持續發展和企業的利益。這是在數字化、工業人工智慧和電子維護的背景下。憑藉著他的承諾、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許多創新。Karim教授是LTU的一家分支公司Predge AB（前身為eMaintenance365 AB）的創始人，該公司提供基於雲/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“33-listan”，這是一份最有潛力的瑞典初創企業名單。
Karim教授的研究引起了國內外的關注。他是各種場合中受歡迎的講師和顧問，其中包括：（i）美國IMS中心的工業顧問委員會；（ii）巴西VALE（巴西礦業公司）；（iii）瑞典-巴西研究和創新中心；（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）的關注。他代表OECD為政策制定者製作了一份關於交通領域數據驅動技術和解決方案的報告。
此外，Karim教授關於AI Factory的研究成果連續兩年在2020年和2021年被IVA的100強名單所認可。該名單包括具有在可預見的未來通過工業商業化、業務和方法發展以及社會影響創造利益潛力的項目。
Diego Galar是Lulea大學操作和維護工程學部門的條件監測全職教授，他協調了與物聯網、工業人工智慧和大數據等不同方面的智能物理系統、工業4.0和物聯網相關的幾個H2020項目。他曾參與位於Lulea的SKF UTC中心，專注於智能軸承，並積極參與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，負責工業和運輸部門的維護和可靠性研究小組。
Diego教授在維護領域發表了500多篇期刊和會議論文、書籍和技術報告。他還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，並積極參與國家和國際的可靠性和維護標準化和研發委員會。
