Data Analytics and Artificial Intelligence for Predictive Maintenance in Smart Manufacturing
暫譯: 智慧製造中的預測性維護數據分析與人工智慧

數據分析和人工智慧 (AI) 在製造業的預測性維護 (PdM) 中扮演著重要角色。本書包含有關預測性維護的最新資訊，以及減少製造商和產業成本和節省時間所需的最新進展、趨勢和工具。

Amit Kumar Tyagi, PhD, is an Assistant Professor at the National Institute of Fashion Technology, New Delhi, India. Previously he was an Assistant Professor (Senior Grade 2) and Senior Researcher at Vellore Institute of Technology (VIT), Chennai, Tamilandu, India, from 2019 to 2022. He earned a PhD in 2018 at Pondicherry Central University, Puducherry, India. Dr. Tyagi joined the Lord Krishna College of Engineering, Ghaziabad (LKCE), from 2009 to 2010 and from 2012 to 2013. He was an Assistant Professor and Head of Research, Lingaya's Vidyapeeth (formerly known as Lingaya's University), Faridabad, Haryana, India, from 2018 to 2019. His supervision experience includes more than ten master's dissertations and one PhD thesis. He has contributed to several projects such as AARIN and P3-Block to address some of the open issues related to privacy breaches in vehicular applications (such as parking) and medical cyber physical systems (MCPS). He has published over 200 papers in refereed high-impact journals, conferences, and books, and some of his articles were awarded best paper awards. Dr. Tyagi has filed more than 25 patents (nationally and internationally) in the areas of deep learning, internet of things, cyber physical systems, and computer vision. He has edited more than 25 books for IET, Elsevier, Springer, CRC Press, etc. Also, Dr. Tyagi has authored four books on intelligent transportation systems, vehicular ad-hoc network, machine learning, and internet of things, with IET UK, Springer Germany, and BPB India. He is a winner of faculty research awards for 2020, 2021, and 2022 (three consecutive years) given by the Vellore Institute of Technology, Chennai, India. Recently, he was awarded the best paper award for a paper titled "A Novel Feature Extractor Based on the Modified Approach of Histogram of Oriented Gradient", in ICCSA 2020, Italy (Europe). His research focuses on next-generation machine-based communications, blockchain technology, smart and secure computing, and privacy. He is a regular member of ACM, IEEE, MIRLabs, Ramanujan Mathematical Society, Cryptology Research Society, Universal Scientific Education and Research Network, CSI, and ISTE.

Shrikant Tiwari, PhD, is an Associate Professor in the Department of Computer Science and Engineering (CSE), School of Computing Science and Engineering (SCSE) at Galgotias University, Greater Noida, Uttar Pradesh, India. Dr. Tiwari also is a Senior Member of IEEE. He earned a PhD in computer science and engineering at the Indian Institute of Technology (Banaras Hindu University), Varanasi, India, in 2012 and an MTech in computer science and technology at the University of Mysore, India, in 2009. He has authored or co-authored more than 75 national and international journal publications, book chapters, and conference articles. He has five patents filed to his credit. His research interests include machine learning, deep learning, computer vision, medical image analysis, pattern recognition, and biometrics. Dr. Tiwari is a member of ACM, IET, FIETE, CSI, ISTE, IAENG, and SCIEI. He is also a guest editorial board member and a reviewer for many international journals of repute.

Gulshan Soni, PhD, is an Associate Professor and Principal in Charge in the Computer Science Engineering Department at the School of Engineering and Information Technology, Mahaveer Academy of Technology and Science University (MATS University), Raipur, India. He earned a PhD at Pondicherry University, India, along with a BTech at the National Institute of Technology (NIT), Raipur, India, and an ME at the National Institute of Technical Teachers Training and Research (NITTTR), Chandigarh, India. His research interests include wireless sensor networks, wireless body area networks, MAC protocols, and routing protocols, as well as distributed computing. Dr. Soni has published extensively in reputable journals and presented at national and international conferences. With over eight years of teaching experience, he brings valuable expertise to both government and private academic institutions in India.

Amit Kumar Tyagi博士是印度新德里國立時尚技術學院的助理教授。之前，他於2019年至2022年在印度泰米爾納德邦金奈的維洛爾科技學院（VIT）擔任助理教授（高級2級）及高級研究員。他於2018年在印度普德區的龐迪榭里中央大學獲得博士學位。Tyagi博士於2009年至2010年及2012年至2013年加入了加茲亞巴德的克里希納工程學院（LKCE）。他於2018年至2019年擔任哈里亞納邦法里達巴德的Lingaya's Vidyapeeth（前稱Lingaya's University）的助理教授及研究部門負責人。他的指導經驗包括超過十篇碩士論文和一篇博士論文。他參與了多個項目，如AARIN和P3-Block，以解決與車輛應用（如停車）和醫療網絡物理系統（MCPS）相關的隱私洩露問題。他在高影響力的期刊、會議和書籍上發表了超過200篇論文，其中一些文章獲得最佳論文獎。Tyagi博士在深度學習、物聯網、網絡物理系統和計算機視覺等領域申請了超過25項專利（國內和國際）。他為IET、Elsevier、Springer、CRC Press等編輯了超過25本書籍。此外，Tyagi博士還與IET UK、Springer Germany和BPB India合著了四本關於智能交通系統、車輛自組網、機器學習和物聯網的書籍。他是印度金奈維洛爾科技學院2020、2021和2022年（連續三年）授予的教職員研究獎的獲得者。最近，他在意大利（歐洲）的ICCSA 2020會議上因論文《基於改進的方向梯度直方圖的新特徵提取器》獲得最佳論文獎。他的研究重點包括下一代機器通信、區塊鏈技術、智能和安全計算以及隱私。他是ACM、IEEE、MIRLabs、拉馬努詹數學學會、密碼學研究學會、全球科學教育與研究網絡、CSI和ISTE的正式成員。

Shrikant Tiwari博士是印度大諾伊達Galgotias大學計算機科學與工程系（CSE）計算科學與工程學院（SCSE）的副教授。Tiwari博士也是IEEE的高級會員。他於2012年在印度瓦拉納西的印度理工學院（班納拉斯印度大學）獲得計算機科學與工程的博士學位，並於2009年在印度邁索爾大學獲得計算機科學與技術的碩士學位（MTech）。他已發表或共同發表超過75篇國內外期刊文章、書籍章節和會議論文。他擁有五項專利。他的研究興趣包括機器學習、深度學習、計算機視覺、醫學影像分析、模式識別和生物識別。Tiwari博士是ACM、IET、FIETE、CSI、ISTE、IAENG和SCIEI的成員。他還是多個知名國際期刊的客座編輯委員會成員和審稿人。

Gulshan Soni博士是印度Raipur的Mahaveer科技與科學大學（MATS University）工程與信息技術學院計算機科學工程系的副教授及負責人。他在印度龐迪榭里大學獲得博士學位，並在印度Raipur的國立技術學院（NIT）獲得BTech學位，以及在印度昌迪加爾的國立技術教師培訓與研究所（NITTTR）獲得碩士學位（ME）。他的研究興趣包括無線感測器網絡、無線人體區域網絡、MAC協議和路由協議，以及分散式計算。Soni博士在知名期刊上發表了大量文章，並在國內外會議上進行了報告。擁有超過八年的教學經驗，他為印度的政府和私立學術機構帶來了寶貴的專業知識。