Intelligent Predictive Maintenance

Liu, Min, Li, Ling, Yan, Feng

Intelligent Predictive Maintenance
  • 出版商: Springer
  • 出版日期: 2024-07-28
  • 售價: $6,360
  • 貴賓價: 9.5 折 $6,042
  • 語言: 英文
  • 頁數: 470
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 981972676X
  • ISBN-13: 9789819726769
  • 相關分類: Machine Learning

    • 海外代購書籍(需單獨結帳)

商品描述

In the field of equipment/product operation and maintenance (O&M) services, the new generation of information technologies such as the internet, big data, and artificial intelligence are deeply integrated with O&M services to form an internet-based Maintenance Repair & Operation (MRO) service network and an intelligent service environment. To deal with the uncertainties of multiple collaborative entities and highly random equipment failures in the large-scale MRO network, this book establishes the theory, technology, and methods of Intelligent Predictive Maintenance (IPdM) for the MRO service network through the study of high-quality acquisition and integration of multi-source heterogeneous data, data-driven equipment fault diagnosis and prediction, large-scale maintenance decision-making, feedback, and control. The book systematically elaborates on the emerging theories, technologies, and methods in the field of equipment/product O&M services, covering a wide range of topics with rich contents. It emphasizes both systematic and scientific approaches as well as practicality. It offers both comprehensive and specialized discussions to reflect the strategic deployment and implementation of China's new generation of intelligent manufacturing and artificial intelligence in this field.

The basis of English translation of this book, originally in Chinese, was facilitated by artificial intelligence. The content was later revised by the author for accuracy.

商品描述(中文翻譯)

在設備/產品運營與維護（O&M）服務領域，網際網路、大數據和人工智慧等新一代資訊技術與O&M服務深度整合，形成基於網際網路的維修與運營（MRO）服務網絡和智能服務環境。為了應對大型MRO網絡中多個協作實體的不確定性和高度隨機的設備故障，本書通過對多源異構數據的高質量獲取與整合、數據驅動的設備故障診斷與預測、大規模維護決策、反饋與控制的研究，建立了智能預測維護（IPdM）服務網絡的理論、技術和方法。本書系統地闡述了設備/產品O&M服務領域的新興理論、技術和方法，涵蓋了廣泛的主題，內容豐富。它強調系統性和科學性的方法以及實用性，提供了全面和專業的討論，以反映中國新一代智能製造和人工智慧在該領域的戰略部署與實施。

本書的英文翻譯基於原中文內容，並由人工智慧協助完成。內容後來經作者修訂以確保準確性。

作者簡介

Min Liu received the B.Sc. degree from China University of Geosciences, Wuhan, China, in 1993, and the M.Sc. and Ph.D. degrees from Zhejiang University, Hangzhou, China, in 1996 and 1999, respectively. He is a full professor at the College of Electronic and Information Engineering, Tongji University, Shanghai, China. He was a Post-Doctoral Fellow at the Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai, China, from 1999 to 2001. From 2001 to 2004, he was a product architecture engineer at Asia-Bridge Software Company Ltd, where he developed an enterprise resource management system. He has authored or co-authored over 100 papers in scientific journals and international conferences in related fields. He has been involved in research on artificial intelligence technologies for collaborative intelligent manufacturing and MRO services over 20 years.

Ling Li received her bachelor's and master's degrees from Hubei University, Wuhan, China, in 2004 and 2007, respectively, and her Ph.D. in Control Science and Engineering from Tongji University, Shanghai, China, in 2018. Now she is a full professor at the School of Statistics and Mathematics, Shanghai Lixin University of Accounting and Finance, Shanghai, China. Her research interests include service-oriented computing, supply chain management, intelligent maintenance and reliability theory.

Feng Yan received his B.S., M.S. and Ph.D. degrees from Central South University, Changsha, China in 2003, 2007 and 2015, respectively. He is a senior engineer with the rank of a professor from CINF Engineering Co., Ltd. and serves as deputy director of the Science & Technology Management Dept. and R&D Centre of CINF. He has been honoured as an outstanding young engineer by the Nonferrous Metals Society of China and an outstanding automation engineer by the Chinese Association of Automation. He has been involved in the research and engineering application of automation and intelligent technology in the process industry over 15 years.

作者簡介(中文翻譯)

Min Liu於1993年獲得中國地質大學（武漢）的學士學位，並於1996年和1999年分別獲得浙江大學的碩士和博士學位。他是上海同濟大學電子與信息工程學院的正教授。1999年至2001年，他在上海交通大學計算機科學與工程系擔任博士後研究員。2001年至2004年，他在亞洲橋軟體有限公司擔任產品架構工程師，開發了一套企業資源管理系統。他在相關領域的科學期刊和國際會議上發表或共同發表了超過100篇論文。他在協作智能製造和維修、運營（MRO）服務的人工智慧技術研究方面已有超過20年的經驗。

Ling Li於2004年和2007年分別獲得湖北大學的學士和碩士學位，並於2018年在上海同濟大學獲得控制科學與工程的博士學位。她目前是上海立信會計金融學院統計與數學學院的正教授。她的研究興趣包括服務導向計算、供應鏈管理、智能維護和可靠性理論。

Feng Yan於2003年、2007年和2015年分別獲得中南大學的學士、碩士和博士學位。他是CINF工程有限公司的高級工程師，並擔任CINF科技管理部和研發中心的副主任。他曾被中國有色金屬學會評選為優秀青年工程師，並被中國自動化學會評選為優秀自動化工程師。他在過程工業的自動化和智能技術研究及工程應用方面已有超過15年的經驗。

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