Mechatronics: Concepts, Tools, Applications, and New Trends
暫譯: 機電一體化：概念、工具、應用與新趨勢

這段文字描述了如何透過數值、實驗和計算方法來改善機電一體化系統的設計、分析能力和優化標準，以及這些方法如何幫助數據感知、故障檢測和診斷。它進一步討論了智能機電一體化系統及其在製造、機器人技術和自動化中的應用。

本書：

- 討論機電一體化系統在製造、自動化、機器人技術、醫療、製藥、地面和空中運輸領域的應用。
- 提出信號感知、故障檢測和診斷的數值、實驗和計算方法。
- 強調使用智能技術（如人工智慧、物聯網、數位雙胞胎、機器學習和深度學習）對於機電一體化系統的重要性。
- 說明如何利用虛擬實境（VR）、擴增實境和混合實境來控制機電一體化設備的概念。
- 解釋物聯網對於機電一體化系統及其在生物醫學和製藥行業應用的必要性。

本書主要針對機械工程、工業與製造工程、電氣工程、電機與電子工程、汽車工程以及計算機工程領域的高年級本科生、研究生和學術研究人員撰寫。

Ajay Kumar is currently serving as a Professor in Department of Mechanical Engineering in School of Engineering and Technology, JECRC University, Jaipur, Rajasthan, India. He received his Ph.D. in the field of Advanced Manufacturing and automation from Guru Jambheshwar University of Science & Technology, Hisar, India after B.Tech. (Hons.) in mechanical engineering and M.Tech. (Distinction) in manufacturing and automation. His areas of research include Biomedical engineering, Incremental Sheet Forming, Artificial Intelligence, Sustainable Materials, robotics and automation, Additive Manufacturing, Mechatronics, Smart Manufacturing, Industry 4.0, Industrial Engineering Systems, Waste Management, and Optimization Techniques. He has over 100 publications in international journals of repute including SCOPUS, Web of Science and SCI indexed database and refereed international conferences. He has organized various national and international events including an international conference on Mechatronics and Artificial Intelligence (ICMAI-2021) as conference chair. He is currently organising international conference on Artificial Intelligence, Advanced Materials, and Mechatronics Systems (AIAMMS-2023) as conference chair. He has more than 20 national and international patents to his credit. He has supervised more than 8 M.Tech, Ph.D scholars and numerous undergraduate projects/ thesis. He has a total of 15 years of experience in teaching and research. He is a Guest Editor of many reputed journals. He has contributed to many international conferences/ symposiums as a session chair, expert speaker, and member of the editorial board. He has won several proficiency awards during the course of his career, including merit awards, best teacher awards, and so on. He has also co-authored and co-edited more than 15 books and proceedings including Incremental Sheet Forming Technologies: Principles, Merits, Limitations, and Applications, Advancements in Additive Manufacturing: Artificial Intelligence, Nature Inspired and Bio-manufacturing, Handbook of Sustainable Materials: Modelling, Characterization, and Optimization, Waste Recovery and Management: An Approach Towards Sustainable Development Goals, Smart Manufacturing: Forecasting the future of Industry 4.0, Handbook of Flexible and Smart Sheet Forming Techniques: Industry 4.0 Perspectives, Advances in Sustainable Materials: Fundamentals, Modelling and Characterization, Smart Electric and Hybrid Vehicles: Design, Modeling, and Assessment by Industry 4.0 Approaches, Smart Electric and Hybrid Vehicles: Fundamentals, Strategies and Applications, Handbook of Intelligent and Sustainable Manufacturing and is a managing guest editor of Conference Series, Volume 1950, International Conference on Mechatronics and Artificial Intelligence (ICMAI) 2021. He has also authored many in-house course notes, lab manuals, monographs and invited chapters in books. He has organized a series of Faculty Development Programs, International Conferences, workshops, and seminars for researchers, PhD, UG and PG level students. He is associated with many research, academic, and professional societies in various capacities.

Parveen Kumar is currently serving as an Assistant Professor and Head in Department of Mechanical Engineering at Rawal Institute of Engineering and Technology, Faridabad, Haryana, India. Currently, he has submitted his Ph.D. from National Institute of Technology, Kurukshetra, Haryana, India. He completed his B.Tech. (Hons.) from Kurukshetra University, Kurukshetra, India and M. Tech. (Distinction) in Manufacturing and Automation from Maharshi Dayanand University, Rohtak, India. His areas of research include Intelligent Manufacturing Systems, Materials; Mechatronics systems, Advanced Materials, Industry 4.0, Die less Forming, Design of Automotive systems, Additive Manufacturing, CAD/CAM and artificial Intelligence, machine learning and Internet of Things in manufacturing, multi objective optimization techniques. He has over 50 publications in international journals of repute including SCOPUS, Web of Science and SCI indexed database and refereed international conferences. He has 8 national and international patents in his credit. He has supervised more than 2 M. Tech. scholars and numerous undergraduate projects/ theses. He has a total of 13 years of experience in teaching and research. He has co-authored/co-edited several books including "Waste Recovery and Management: An Approach Towards Sustainable Development Goals", "Handbook of Sustainable Materials: Introduction, Modelling, Characterization and Optimization", "Handbook of Smart Manufacturing: Forecasting the future of Industry 4.0", "Modeling, Characterization, and Processing of Smart Materials", "Handbook of Flexible and Smart Sheet Forming Techniques: Industry 4.0 Approaches", "3D Printing Technologies: Digital Manufacturing, Artificial Intelligence, Industry 4.0", "Smart Electric and Hybrid Vehicles: Design, Modeling, and Assessment by Industry 4.0 Approaches", "Smart Electric and Hybrid Vehicles: Fundamentals, Strategies and Applications" and "Handbook of Intelligent and Sustainable Manufacturing". He has organized a series of Faculty Development Programmes, workshops, and seminar for researchers and UG level students. He is also the editor of book series on "Industrial and Manufacturing Systems and Technologies: Sustainable and Intelligent Perspectives".

Sarita Rathee is currently serving as an Assistant Professor in Department of Electrical and Electronics Engineering, School of Engineering and Technology, JECRC University, Jaipur, Rajasthan, India. She received her M.Tech (Distinction) in the field of Electrical and Electronics Engineering from Maharshi Dayanand University, Rohtak, India after B.Tech. (Hons.) in electrical engineering. Her areas of research include Artificial Intelligence, IOT, cloud computing, Industry 4.0, Waste management, and optimization techniques. She has over 10 publications in international journals of repute including SCOPUS, Web of Science and SCI indexed database and refereed international conferences. She has more than 5 national and international patents to her credit. She has supervised more than 4 M. Tech scholars and numerous undergraduate projects/theses. She has a total of 05 years of experience in teaching and research. She has won several proficiency awards during the course of his career, including merit awards, best teacher awards, and so on. She is co-adviser of QCFI, Delhi Chapter student cell at JECRC University and has also authored many in-house course notes, lab manuals, monographs and invited chapters in books. She has attended a series of Faculty Development Programs, International Conferences, workshops, and seminars for researchers, PhD, UG and PG level students. She teaches the following courses at the graduate and postgraduate level: instrumentation engineering, IOT, FACTS devices, Power electronics, electric vehicles and so on. She is associated with many research, academic, and professional societies in various capacities.

Brijesh Kumar is Dean (Academics) at Manav Rachna International Institute of Research and Studies, Faridabad. Earlier he was Dean School of Engineering & Technology with Ansal University, Gurgaon since January 2018. Before this he was Dean Academics and Dean School of Engineering Technology, with K.R. Mangalam University, Gurgaon. During his association of more than 14 years with Lingaya's group Faridabad, he worked at various positions including Director, Head (IT), Professor (CSE), Associate Dean, Dean Academics and Dean R&D subsequently. Prior to Lingaya's group, Faridabad, Dr. Kumar worked with ITS, STG and TVI. He has got more than 26 years of experience in academics, Industry and Research. Prof. Kumar completed PhD (2009) in Computer Science in the area of Network Simulation from Kurukshetra University, Kurukshetra. He has done M. Tech. In Computer Sc. (2001) and M. Tech. In Applied Geophysics (1996) from Kurukshetra University. Dr. Brijesh Kumar has guided ten Ph.D. Students and has successfully guided more than two dozen M. Tech. Dissertations. He is fellow member of Institution of Engineers (India) and member of various professional bodies and societies including. CSI, IEEE, ACM, ISTE, CEGR, IAE, IACSIT etc. He has successfully conducted five International Conferences and published more than 60 research papers in various International/National Journals and International/National Conferences proceedings. Recently two of his international patents got the status of granted. He has conducted faculty development programs and conferences, since 2002. Very recently he has concluded DST sponsored 6week long technical entrepreneurship development program in cloud computing and cyber security in association with IBM. His area of interests includes Big Data Analytics, Machine Learning, Free and open-source software, web technologies, computer networks, and simulation. He has delivered more than two dozen talks and keynote addresses in these areas at various regional, national and international platforms.

Ajay Kumar 目前擔任印度拉賈斯坦邦齋浦爾JECRC大學工程與技術學院機械工程系的教授。他在印度希沙爾的古魯詹比斯瓦大學獲得了先進製造與自動化領域的博士學位，並在機械工程獲得榮譽學士學位（B.Tech. (Hons.)）及在製造與自動化獲得優異碩士學位（M.Tech. (Distinction)）。他的研究領域包括生物醫學工程、增量成形、人工智慧、可持續材料、機器人與自動化、增材製造、機電一體化、智慧製造、工業4.0、工業工程系統、廢物管理及優化技術。他在包括SCOPUS、Web of Science和SCI索引的國際期刊上發表了超過100篇論文，並參加了多個國際會議。他組織了多個國內外活動，包括擔任國際會議「機電一體化與人工智慧國際會議（ICMAI-2021）」的會議主席。目前，他正擔任「人工智慧、先進材料與機電系統國際會議（AIAMMS-2023）」的會議主席。他擁有超過20項國內外專利，並指導了超過8名碩士及博士研究生及多個本科專案/論文。他在教學和研究方面擁有15年的經驗，並擔任多本知名期刊的客座編輯。他在多個國際會議/研討會中擔任會議主席、專家演講者及編輯委員會成員。在職業生涯中，他獲得了多項專業獎項，包括優異獎、最佳教師獎等。他還共同撰寫和編輯了超過15本書籍和會議論文集，包括增量成形技術：原理、優點、限制及應用、增材製造的進展：人工智慧、自然啟發及生物製造、可持續材料手冊：建模、特徵化及優化、廢物回收與管理：朝向可持續發展目標的途徑、智慧製造：預測工業4.0的未來、靈活與智慧成形技術手冊：工業4.0的視角、可持續材料的進展：基礎、建模與特徵化、智慧電動與混合動力車輛：設計、建模及工業4.0方法的評估、智慧電動與混合動力車輛：基礎、策略與應用、智慧與可持續製造手冊，並擔任會議系列第1950卷的管理客座編輯，機電一體化與人工智慧國際會議（ICMAI） 2021。他還撰寫了許多內部課程筆記、實驗手冊、專著及書籍中的邀請章節。他組織了一系列的教師發展計畫、國際會議、研討會及工作坊，針對研究人員、博士生及本科生。他以多種身份參與多個研究、學術及專業社團。

Parveen Kumar 目前擔任印度哈里亞納邦法里達巴德Rawal工程與技術學院機械工程系的助理教授及系主任。目前，他已向哈里亞納邦庫魯克舍特拉國立技術學院提交了博士學位論文。他在印度庫魯克舍特拉大學獲得榮譽學士學位（B.Tech. (Hons.)）及在印度羅塔克的馬哈希大亞南德大學獲得優異碩士學位（M. Tech. (Distinction)）於製造與自動化。他的研究領域包括智能製造系統、材料、機電系統、先進材料、工業4.0、無模成形、汽車系統設計、增材製造、CAD/CAM及人工智慧、機器學習和物聯網在製造中的應用、多目標優化技術。他在包括SCOPUS、Web of Science和SCI索引的國際期刊上發表了超過50篇論文，並擁有8項國內外專利。他指導了超過2名碩士研究生及多個本科專案/論文，並在教學和研究方面擁有13年的經驗。他共同撰寫/編輯了幾本書籍，包括廢物回收與管理：朝向可持續發展目標的途徑、可持續材料手冊：介紹、建模、特徵化及優化、智慧製造手冊：預測工業4.0的未來、智慧材料的建模、特徵化及處理、靈活與智慧成形技術手冊：工業4.0方法、3D列印技術：數位製造、人工智慧、工業4.0、智慧電動與混合動力車輛：設計、建模及工業4.0方法的評估、智慧電動與混合動力車輛：基礎、策略與應用及智慧與可持續製造手冊。他組織了一系列的教師發展計畫、工作坊及研討會，針對研究人員及本科生。他也是「工業與製造系統及技術：可持續與智能視角」書籍系列的編輯。

Sarita Rathee 目前擔任印度拉賈斯坦邦齋浦爾JECRC大學電氣與電子工程系的助理教授。她在印度羅塔克的馬哈希大亞南德大學獲得電氣與電子工程領域的優異碩士學位（M.Tech (Distinction)），並在電氣工程獲得榮譽學士學位（B.Tech. (Hons.)）。她的研究領域包括人工智慧、物聯網、雲計算、工業4.0、廢物管理及優化技術。她在包括SCOPUS、Web of Science和SCI索引的國際期刊上發表了超過10篇論文，並擁有超過5項國內外專利。她指導了超過4名碩士研究生及多個本科專案/論文，並在教學和研究方面擁有5年的經驗。在職業生涯中，她獲得了多項專業獎項，包括優異獎、最佳教師獎等。她是JECRC大學QCFI德里分會學生小組的共同顧問，並撰寫了許多內部課程筆記、實驗手冊、專著及書籍中的邀請章節。她參加了一系列的教師發展計畫、國際會議、工作坊及研討會，針對研究人員、博士生及碩士生。她在研究生及碩士生層級教授以下課程：儀器工程、物聯網、FACTS設備、電力電子及電動車等。她以多種身份參與多個研究、學術及專業社團。

Brijesh Kumar 是法里達巴德Manav Rachna國際研究與學院的學術院長。早前，他自2018年1月起擔任安薩大學工程與技術學院的院長。在此之前，他擔任K.R. Mangalam大學的學術院長及工程技術學院院長。在與Lingaya's集團法里達巴德的14年合作中，他擔任過多個職位，包括主任、IT部門負責人、計算機科學教授、副院長、學術院長及研發院長。在Lingaya's集團之前，Kumar博士曾在ITS、STG及TVI工作。他在學術、產業及研究方面擁有超過26年的經驗。Kumar教授於2009年在庫魯克舍特拉大學獲得計算機科學博士學位，研究領域為網路模擬。他於2001年獲得計算機科學碩士學位（M. Tech.）及於1996年獲得應用地球物理學碩士學位（M. Tech.）於庫魯克舍特拉大學。Brijesh Kumar博士指導了十名博士生，並成功指導了超過二十篇碩士論文。他是印度工程師協會的會員，並是多個專業機構及社團的成員，包括CSI、IEEE、ACM、ISTE、CEGR、IAE、IACSIT等。他成功舉辦了五場國際會議，並在各種國際/國內期刊及會議論文集中發表了超過60篇研究論文。最近，他的兩項國際專利獲得授權。他自2002年以來舉辦了教師發展計畫及會議。最近，他與IBM合作結束了為期六週的DST贊助的雲計算與網路安全技術創業發展計畫。他的研究興趣包括大數據分析、機器學習、自由及開源軟體、網路技術、計算機網路及模擬。他在這些領域於各種地區、國家及國際平台上發表了超過二十次的演講及主題演講。