Digital Twin for Gear Wear Monitoring and Prediction
暫譯: 齒輪磨損監測與預測的數位雙胞胎

Feng, Ke, Ni, Qing, Zhou, Hanbin

  • 出版商: CRC
  • 出版日期: 2026-08-10
  • 售價: $4,370
  • 貴賓價: 9.5$4,151
  • 語言: 英文
  • 頁數: 14
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 1041167245
  • ISBN-13: 9781041167242
  • 相關分類: 物聯網 IoT
  • 海外代購書籍(需單獨結帳)

商品描述

This book presents recent research developments and integrated methodologies for digital twin gear wear monitoring and remaining useful life prediction for rotating machinery.

商品描述(中文翻譯)

本書介紹了數位雙胞胎齒輪磨損監測及旋轉機械剩餘使用壽命預測的最新研究進展和整合方法。

作者簡介

Ke Feng is a Full Professor at Xi'an Jiaotong University, is a Marie Curie Fellow, and is ranked among the "Stanford/Elsevier Top 2% Scientists". He earned his bachelor's and master's degrees from the University of Electronic Science and Technology of China and his Ph.D. from the University of New South Wales. He has held positions at renowned institutions such as the University of British Columbia, the National University of Singapore, and Imperial College London. His research areas include digital twins, machine learning, signal processing, fault diagnosis, fatigue, and wear analysis, among others. In 2023, he was awarded the title of "Emerging Leader" by the Royal Physical Society Journal. He currently serves as an Associate Editor and Editorial Board Member for several international journals, including IEEE Transactions on Industrial Informatics, Information Fusion, IEEE Internet of Things Journal, and Structural Health Monitoring. He has led numerous international collaborative projects, including the Horizon Europe, UKRI projects, the National Natural Science Foundation Excellent Young Scientists Fund, and the key projects under the National Key Research and Development Program of China. He has also received the "Second Prize of the China Aviation Science and Technology Award" and the "Second Prize of the Vibration Engineering Society Science and Technology Award".

Qing Ni is a Professor at the School of Artificial Intelligence, OPtics and ElectroNics, Northwestern Polytechnical University, China. She earned her Ph.D. degree from the University of Technology Sydney, Australia, in 2023. She worked at the University of Technology Sydney, Australia from 2023 to 2025. Her main research interests include large language models, digital twins, signal processing, prognostics and health management. Currently, she serves as Associate Editor or Editorial Board Member for IEEE Transactions on Industrial Informatics, Engineering Applications of Artificial Intelligence, Neurocomputing, Journal of Intelligent Manufacturing, IEEE Transactions on Instrumentation & Measurement, IEEE Sensors Journal. She also holds positions as Youth Editor and Guest Editor for several journals, in addition to chairing sessions at international conferences. She is recognized as the Emerging Leader by the Measurement Science and Technology journal and World's Top 2% Scientists by Stanford University in 2024.

Hanbin Zhou is currently a Ph.D. candidate in the School of Mechanical Engineering at Xi'an Jiaotong University, China. He received an M.S. degree in Mechanical Engineering from Central South University in 2025. His current research interests focus on cognitive digital twins, machine condition monitoring, signal processing, and artificial intelligence. He has participated in research projects funded by the National Natural Science Foundation of China (NSFC). He holds 4 authorized Chinese invention patents. He has authored research papers in reputable journals such as Measurement Science and Technology. He also serves as a reviewer for leading journals, including IEEE Transactions on Industrial Informatics.

作者簡介(中文翻譯)

柯峰是西安交通大學的全職教授,曾獲得瑪麗·居里研究員(Marie Curie Fellow)稱號,並被評選為「史丹佛/Elsevier 前2% 科學家」。他在中國電子科技大學獲得學士和碩士學位,並在新南威爾士大學獲得博士學位。他曾在不列顛哥倫比亞大學、新加坡國立大學和倫敦帝國學院等知名機構任職。他的研究領域包括數位雙胞胎(digital twins)、機器學習(machine learning)、信號處理(signal processing)、故障診斷(fault diagnosis)、疲勞(fatigue)和磨損分析(wear analysis)等。2023年,他被英國皇家物理學會期刊授予「新興領導者」稱號。他目前擔任多個國際期刊的副編輯和編輯委員會成員,包括《IEEE 工業資訊學報》(IEEE Transactions on Industrial Informatics)、《資訊融合》(Information Fusion)、《IEEE 物聯網學報》(IEEE Internet of Things Journal)和《結構健康監測》(Structural Health Monitoring)。他主導了多個國際合作項目,包括Horizon Europe、UKRI項目、中國國家自然科學基金優秀青年科學基金,以及中國國家重點研究與發展計畫下的關鍵項目。他還獲得了「中國航空科學技術獎二等獎」和「振動工程學會科技獎二等獎」。

倪青是中國西北工業大學人工智慧、光學與電子學院的教授。她於2023年在澳大利亞悉尼科技大學獲得博士學位。她於2023年至2025年在悉尼科技大學工作。她的主要研究興趣包括大型語言模型(large language models)、數位雙胞胎、信號處理、預測與健康管理(prognostics and health management)。目前,她擔任《IEEE 工業資訊學報》(IEEE Transactions on Industrial Informatics)、《人工智慧工程應用》(Engineering Applications of Artificial Intelligence)、《神經計算》(Neurocomputing)、《智能製造期刊》(Journal of Intelligent Manufacturing)、《IEEE 儀器與測量學報》(IEEE Transactions on Instrumentation & Measurement)和《IEEE 感測器學報》(IEEE Sensors Journal)的副編輯或編輯委員會成員。她還擔任多個期刊的青年編輯和客座編輯,並在國際會議上擔任會議主席。她在2024年被《測量科學與技術》期刊認定為新興領導者,並被史丹佛大學評選為世界前2%科學家。

周漢彬目前是西安交通大學機械工程學院的博士候選人。他於2025年在中南大學獲得機械工程碩士學位。他目前的研究興趣集中在認知數位雙胞胎(cognitive digital twins)、機器狀態監測(machine condition monitoring)、信號處理和人工智慧(artificial intelligence)。他參與了由中國國家自然科學基金(NSFC)資助的研究項目。他擁有4項授權的中國發明專利,並在《測量科學與技術》等知名期刊上發表研究論文。他還擔任《IEEE 工業資訊學報》等領先期刊的審稿人。