Soft Computing in Condition Monitoring and Diagnostics of Electrical and Mechanical Systems: Novel Methods for Condition Monitoring and Diagnostics
暫譯: 電氣與機械系統的軟計算狀態監測與診斷：狀態監測與診斷的新方法

本書探討與智慧建築中的狀態監測（CM）、故障診斷與檢測（FDD）、廣域監測（WAM）、風能轉換系統（WECS）、光伏（PV）系統、結構、電氣系統、機械系統、智慧電網等相關的一系列複雜問題。本書的目標是開發並整合所有先進的非侵入式CMFD方法於一個共同的平台。為此，本書探討用於CMFD目的的各種系統的主要組件。

內容分為三個主要部分，第一部分提供簡要介紹，然後專注於CMFD領域的最新技術和主要研究空白。第二部分涵蓋在電氣和機械系統中逐步實施新穎的軟計算應用於CMFD。第三部分則在廣泛的附錄中包含每章的模擬程式碼，以支持該領域的新手。

Hasmat Malik (M'16) received Diploma in Electrical Engineering from Aryabhatt Govt. Polytechnic Delhi, B.Tech. degree in electrical and electronics engineering from the GGSIP University, Delhi, M.Tech. degree in electrical engineering from National Institute of Technology (NIT), Hamirpur, Himachal Pradesh, and Ph.D. in power system from Electrical Engineering Department, Indian Institute of Technology (IIT) Delhi, India. He is currently a Postdoctoral Scholar at BEARS, University Town, NUS Campus, Singapore, and an Assistant Professor (on leave) at Division of Instrumentation and Control Engineering, Netaji Subhas University of Technology, Delhi, India. He is a Life Member of Indian Society for Technical Education (ISTE), Institution of Electronics and Telecommunication Engineering (IETE), International Association of Engineers, Hong Kong (IAENG), International Society for Research and Development, London (ISRD), and Member of the Institute of Electrical and Electronics Engineers (IEEE), USA, and MIR Labs, Asia. He has published more than 100 research articles, including papers in international journals, conferences, and book chapters. He is a Guest Editor of Special Issue of Journal of Intelligent & Fuzzy Systems, 2018. (SCI, Impact Factor 2019:1.637), (IOS Press). He received the POSOCO Power System Award (PPSA-2017) for his Ph.D. work for research and innovation in the area of power system. He has received best research papers awards at IEEE INDICON-2015, and full registration fee at IEEE SSD-2012 (Germany). His principle areas of research interests are artificial intelligence, machine learning and big data analytics for smart building & automation, condition monitoring and online fault detection & diagnosis (FDD).

Atif Iqbal (M'9, SM'11) is Fellow IET (UK), Fellow IE (India) and Senior Member IEEE, Ph.D. (UK), Associate Editor of IEEE Access, Editor-in-Chief, I-manager's journal of Electrical Engineering, Former Associate Editor of IEEE Transactions On Industry Application, Associate Professor at the Dept. Electrical Engineering, Qatar University, and Former Full Professor at the Dept. of Electrical Engineering, Aligarh Muslim University (AMU), Aligarh, India, . Recipient of Outstanding Faculty Merit Award AY 2014-2015 and Research Excellence Award 2015 and 2019, at Qatar University, Doha, Qatar. He received his B.Sc. (Gold Medal) and M.Sc. Engineering (Power System & Drives) degrees in 1991 and 1996, respectively, from the Aligarh Muslim University (AMU), Aligarh, India, and Ph.D. in 2006 from Liverpool John Moores University, Liverpool, UK. He has been employed as a Lecturer in the Department of Electrical Engineering, AMU, Aligarh, since 1991 where he served as the Full Professor until August 2016. He is recipient of Maulana Tufail Ahmad Gold Medal for standing first at B.Sc. Engg. Exams in 1991 from AMU. He has received best research papers awards at IEEE ICIT-2013, IET-SEISCON-2013, and SIGMA 2018. He has published widely in international journals and conferences his research findings related to Power Electronics, Motor Drives and Renewable Energy Sources. He has supervised several large R&D projects worth multi-million USD. He has supervised several PhDs. His principal areas of research interest are modeling and simulation of power electronic converters, control of multi-phase motor drives, Condition Monitoring of Motor Drives, Smart Grid, Active Distribution Network, Electric and Hybrid Electric Vehicles and Renewable energy sources.

Dr Amit Kumar Yadav received B.Tech. in Electrical and Electronics Engineering in 2009 from UCER Naini Allahabad U.P., India, M.Tech. in Power System in 2011 and Ph.D. in artificial neural network-based prediction of solar radiation for optimum sizing of photovoltaic systems for power generation in 2016 from Centre for Energy and Environmental Engineering National Institute of Technology, Hamirpur, Himachal Pradesh, India. Currently, he is an Assistant Professor in Electrical and Electronics Engineering Department, National Institute of Technology, Sikkim. His research interests include solar radiation and wind speed prediction for power generation, hybrid systems, artificial intelligence, optimization techniques and condition monitoring of power apparatus. He supervised more than 10 undergraduate projects and 1 M.Tech. projects. He is Editorial Board Member in Turkish Journal of Forecasting. He was awarded with "Research Ratna Awards 2019" for "Best Researcher In Solar Photovoltaic Systems For Maximum Power Generation" by Research Under Literal Access (RULA) International Awards. He has authored 11 science citation index international journals, 10 Scopus index international journals, 5 Springer and Elsevier book chapters and 12 IEEE Conference Publications. Most of the research papers are of impact factor 10.59. The h-index of research papers is 12, i-10 index is 14, and total citation of papers is more than 950.

He is reviewer of IET Science, Measurement & Technology, Neural Computing and Applications (Springer), Applied Energy (Elsevier), International Energy Journal, Electric Power Components and Systems Journal (Wiley), ISA Transactions (Elsevier), Sustainable Energy Technology and Assessment (Elsevier), Journal of Renewable and Sustainable Energy (American Institute of Physics), Jordanian Journal of Computers and Information Technology, IEEE Transaction on Industrial Electronics, International Journal of Electrical Power and Energy System (IJEP), Elsevier, Journal of Cleaner Production, Elsevier, Renewable and Sustainable Energy Review, Elsevier, Solar Energy Elsevier, Science and Technology for the Built Environment Taylor and Francis Journal.

哈斯馬特·馬利克 (M'16) 於德里阿里亞巴特政府理工學院獲得電氣工程文憑，並在德里GGSIP大學獲得電氣與電子工程的B.Tech學位，在印度喜馬偕爾邦哈米爾普爾的國立技術學院(NIT)獲得電氣工程的M.Tech學位，最後在印度德里印度理工學院(IIT)電氣工程系獲得電力系統的博士學位。他目前是新加坡國立大學(NUS)大學城BEARS的博士後研究員，並在印度德里內塔吉·蘇巴斯科技大學的儀器與控制工程系擔任助理教授（休假中）。他是印度技術教育學會(ISTE)、電子與電信工程學會(IETE)、國際工程師協會(IAENG)、倫敦國際研究與發展學會(ISRD)的終身會員，以及美國電氣與電子工程師學會(IEEE)和亞洲MIR Labs的會員。他已發表超過100篇研究文章，包括國際期刊、會議論文和書籍章節。他是《智能與模糊系統期刊》2018年特刊的客座編輯（SCI，2019年影響因子：1.637），（IOS Press）。因其博士研究在電力系統領域的研究與創新，他獲得了POSOCO電力系統獎(PPSA-2017)。他在IEEE INDICON-2015獲得最佳研究論文獎，並在IEEE SSD-2012（德國）獲得全額註冊費用。他的主要研究興趣領域包括人工智慧、機器學習和大數據分析，用於智慧建築與自動化、狀態監測及在線故障檢測與診斷(FDD)。

阿提夫·伊克巴爾 (M'9, SM'11) 是英國工程技術學會(IET)的院士、印度工程學會(IE)的院士及IEEE的高級會員，擁有英國的博士學位，擔任IEEE Access的副編輯、I-manager電氣工程期刊的主編，曾任IEEE《行業應用學報》的副編輯，並在卡塔爾大學電氣工程系擔任副教授，曾在印度阿利格爾穆斯林大學(AMU)電氣工程系擔任全職教授。2014-2015學年，他獲得卡塔爾大學的傑出教學獎和2015及2019年的研究卓越獎。他於1991年和1996年分別在阿利格爾穆斯林大學獲得B.Sc.（金獎）和M.Sc.工程（電力系統與驅動）學位，並於2006年在英國利物浦約翰摩爾斯大學獲得博士學位。自1991年以來，他在AMU電氣工程系擔任講師，並於2016年8月之前擔任全職教授。他因在1991年B.Sc.工程考試中名列第一而獲得毛拉納·圖法伊爾·艾哈邁德金獎。他在IEEE ICIT-2013、IET-SEISCON-2013和SIGMA 2018獲得最佳研究論文獎。他在國際期刊和會議上廣泛發表與電力電子、電動機驅動和可再生能源相關的研究成果。他監督了多個價值數百萬美元的大型研發項目，並指導了多位博士生。他的主要研究興趣包括電力電子轉換器的建模與仿真、多相電動機驅動的控制、電動機驅動的狀態監測、智慧電網、主動配電網、電動及混合電動車輛和可再生能源。

阿米特·庫馬爾·雅達夫博士於2009年在印度烏塔爾邦納伊尼的UCER獲得電氣與電子工程的B.Tech學位，於2011年獲得電力系統的M.Tech學位，並於2016年在喜馬偕爾邦哈米爾普爾的國立技術學院能源與環境工程中心獲得基於人工神經網絡的太陽輻射預測的博士學位，以便為光伏系統的最佳規模設計進行電力生成。目前，他是國立技術學院西藏分校電氣與電子工程系的助理教授。他的研究興趣包括太陽輻射和風速預測以進行電力生成、混合系統、人工智慧、優化技術和電力設備的狀態監測。他指導了超過10個本科項目和1個M.Tech項目。他是土耳其預測期刊的編輯委員會成員。他因在太陽光伏系統中實現最大電力生成的最佳研究者而獲得2019年“研究寶石獎”，該獎項由國際獎項“文學獲取下的研究”(RULA)頒發。他已發表11篇科學引文索引國際期刊、10篇Scopus索引國際期刊、5篇Springer和Elsevier書籍章節以及12篇IEEE會議論文。大多數研究論文的影響因子為10.59。研究論文的h指數為12，i-10指數為14，論文的總引用次數超過950。他是IET科學、測量與技術、神經計算與應用（Springer）、應用能源（Elsevier）、國際能源期刊、電力元件與系統期刊（Wiley）、ISA交易（Elsevier）、可持續能源技術與評估（Elsevier）、可再生與可持續能源期刊（美國物理學會）、約旦計算機與信息技術期刊、IEEE工業電子學報、國際電力與能源系統期刊（IJEP）、Elsevier、清潔生產期刊（Elsevier）、可再生與可持續能源評論（Elsevier）、太陽能（Elsevier）、建築環境的科學與技術（Taylor and Francis期刊）的審稿人。