Prognostics and Remaining Useful Life (RUL) Estimation: Predicting with Confidence
暫譯: 預測學與剩餘使用壽命 (RUL) 估算：自信預測

本書比較了用於估算不同資產剩餘使用壽命（RUL）的技術和模型，包括對相關文獻的回顧，探討預測技術及其在工業領域的應用。書中描述了針對不同資產的不同方法和預測技術，並輔以適當的案例研究。

Dr. Diego Galar is Full Professor of Condition Monitoring in the Division of Operation and Maintenance Engineering at LTU, Luleå University of Technology where he is coordinating several H2020 projects related to different aspects of cyber physical systems, Industry 4.0, IoT or Industrial AI and Big Data. He was also involved in the SKF UTC centre located in Lulea focused on SMART bearings and also actively involved in national projects with the Swedish industry or funded by Swedish national agencies like Vinnova.
He is also principal researcher in Tecnalia (Spain), heading the Maintenance and Reliability research group within the Division of Industry and Transport.
He has authored more than five hundred journal and conference papers, books and technical reports in the field of maintenance, working also as member of editorial boards, scientific committees and chairing international journals and conferences and actively participating in national and international committees for standardization and R&D in the topics of reliability and maintenance.
In the international arena, he has been visiting Professor in the Polytechnic of Braganza (Portugal), University of Valencia and NIU (USA) and the Universidad Pontificia Católica de Chile. Currently, he is visiting professor in University of Sunderland (UK), University of Maryland (USA), and Chongqing University in China.

Dr. Kai Goebel is a Principal Scientist in the System Sciences Lab at Palo Alto Research Center (PARC). His interest is broadly in condition-based maintenance and systems health management for a broad spectrum of cyber-physical systems in the transportation, energy, aerospace, defense, and manufacturing sectors. Prior to joining PARC, Dr. Goebel worked at NASA Ames Research Center and General Electric Corporate Research & Development center. At NASA, he was a branch chief leading the Discovery and Systems Health tech area which included groups for machine learning, quantum computing, physics modeling, and diagnostics & prognostics. He founded and directed the Prognostics Center of Excellence which advanced our understanding of the fundamental aspects of prognostics. He holds 18 patents and has published more than 350 papers, including a book on Prognostics. Dr. Goebel was an adjunct professor at Rensselaer Polytechnic Institute and is now adjunct professor at Lulea Technical University. He is a co-founder of the Prognostics and Health Management Society, and associate editor of the International Journal of PHM.

Peter Sandborn is a Professor in the CALCE Electronic Products and Systems Center and the Director of the Maryland Technology Enterprise Institute at the University of Maryland. Dr. Sandborn's group develops life-cycle cost models and business case support for long field life systems. This work includes: obsolescence forecasting algorithms, strategic design refresh planning, lifetime buy quantity optimization, return on investment models for maintenance planning and system health management, and outcome-based contract design and optimization. Dr. Sandborn is the developer of the MOCA refresh planning tool. Dr. Sandborn is an Associate Editor of the IEEE Transactions on Electronics Packaging Manufacturing and a member of the Board of Directors of the PHM Society. He is the author of over 200 technical publications and several books on electronic packaging and electronic systems cost analysis. He was the winner of the 2004 SOLE Proceedings, the 2006 Eugene L. Grant, the 2017 ASME Kos Ishii-Toshiba, and the 2018 Jacques S. Gansler awards. He has a B.S. degree in engineering physics from the University of Colorado, Boulder, in 1982, and the M.S. degree in electrical science and Ph.D. degree in electrical engineering, both from the University of Michigan, Ann Arbor, in 1983 and 1987, respectively. He is a Fellow of the IEEE, the ASME and the PHM Society.

Dr. Uday Kumar is the Chair Professor of Operation and Maintenance Engineering, Director of Research and Innovation (Sustainable Transport) at Luleå University of Technology and Director of Luleå Railway Research Center.
His teaching, research & consulting interests are equipment maintenance, reliability and maintainability analysis, product support, Life Cycle Costing(LCC), Risk analysis, system analysis, eMaintenance, asset management etc.
He is visiting faculty at the Center of Intelligent Maintenance System(IMS)- a centre sponsored by National Science Foundation, Cincinnati, USA since 2011, External examiner and Program Reviewer for Reliability and Asset Management Program of The University of Manchester, Distinguished visiting Professor at Tsinghua University Beijing, Honorary Professor at Beijing Jiaotong University, Beijing, etc. Earlier he has been visiting faculty at Imperial College London, Helsinki University of Technology, Helsinki, Univ of Stavanger, Norway, etc.
He has more than 30 years of experiences in consulting and finding solutions to industrial problems directly or indirectly related to maintenance of engineering asserts. He has published more than 300 papers in International Journals and Conference Proceedings dealing with various aspects of maintenance of engineering systems, and has co-authored 4 books on Maintenance Engineering and contributed to World Encyclopaedia on Risk Management.
He is an elected member of Royal Swedish Academy of Engineering Sciences.

迭戈·加拉博士是瑞典盧勒奧科技大學（LTU）運營與維護工程系的全職教授，負責協調多個與網絡物理系統、工業4.0、物聯網（IoT）或工業人工智慧及大數據相關的H2020項目。他還參與了位於盧勒奧的SKF UTC中心，專注於智慧軸承，並積極參與與瑞典工業或由瑞典國家機構如Vinnova資助的國家項目。
他同時是西班牙Tecnalia的首席研究員，負責工業與運輸部門的維護與可靠性研究小組。
他在維護領域已發表超過五百篇期刊和會議論文、書籍及技術報告，並擔任編輯委員會成員、科學委員會成員，主持國際期刊和會議，積極參與國內外的標準化及研發委員會，專注於可靠性和維護的主題。
在國際舞台上，他曾擔任葡萄牙布拉干薩理工學院、瓦倫西亞大學、美國NIU及智利天主教大學的訪問教授。目前，他是英國桑德蘭大學、美國馬里蘭大學及中國重慶大學的訪問教授。

凱·戈貝爾博士是帕洛阿爾托研究中心（PARC）系統科學實驗室的首席科學家。他的研究興趣廣泛涵蓋基於狀態的維護及系統健康管理，適用於交通、能源、航空航天、防禦及製造等多個領域的網絡物理系統。在加入PARC之前，戈貝爾博士曾在NASA艾姆斯研究中心及通用電氣公司研究與開發中心工作。在NASA，他擔任分支主管，領導發現與系統健康技術領域，該領域包括機器學習、量子計算、物理建模及診斷與預測等小組。他創立並指導了預測卓越中心，推進了我們對預測基本方面的理解。他擁有18項專利，並發表了超過350篇論文，包括一本關於預測的書籍。戈貝爾博士曾擔任倫斯勒理工學院的兼任教授，現在是盧勒奧科技大學的兼任教授。他是預測與健康管理學會的共同創始人，並擔任《國際PHM期刊》的副編輯。

彼得·桑德本是馬里蘭大學CALCE電子產品與系統中心的教授及馬里蘭科技企業研究所的主任。桑德本博士的團隊開發生命週期成本模型及長期現場系統的商業案例支持。這項工作包括：過時預測算法、戰略設計更新規劃、終身購買數量優化、維護規劃及系統健康管理的投資回報模型，以及基於結果的合同設計與優化。桑德本博士是MOCA更新規劃工具的開發者。他是《IEEE電子包裝製造交易》的副編輯，並且是PHM學會董事會成員。他已發表超過200篇技術出版物及幾本有關電子包裝和電子系統成本分析的書籍。他曾獲得2004年SOLE會議獎、2006年尤金·L·格蘭特獎、2017年ASME Kos Ishii-Toshiba獎及2018年雅克·S·甘斯勒獎。他於1982年獲得科羅拉多大學博爾德分校的工程物理學學士學位，並於1983年及1987年分別獲得密西根大學安娜堡分校的電氣科學碩士學位及電氣工程博士學位。他是IEEE、ASME及PHM學會的會士。

烏代·庫馬博士是盧勒奧科技大學運營與維護工程的講座教授、可持續交通研究與創新主任及盧勒奧鐵路研究中心主任。
他的教學、研究及諮詢興趣包括設備維護、可靠性與可維護性分析、產品支持、生命週期成本（LCC）、風險分析、系統分析、電子維護、資產管理等。
自2011年以來，他是美國辛辛那提國家科學基金會贊助的智能維護系統中心（IMS）的訪問教員，並擔任曼徹斯特大學可靠性與資產管理項目的外部考官及課程審查員，還是北京清華大學的特聘訪問教授及北京交通大學的榮譽教授等。早期，他曾在倫敦帝國學院、赫爾辛基科技大學、挪威斯塔萬格大學等擔任訪問教員。
他在諮詢及解決與工程資產維護直接或間接相關的工業問題方面擁有超過30年的經驗。他在國際期刊及會議論文集中發表了超過300篇有關工程系統維護各方面的論文，並共同撰寫了4本有關維護工程的書籍，並為《世界風險管理百科全書》作出貢獻。
他是瑞典皇家工程科學院的當選成員。