Fault Diagnosis and Prognostics Based on Cognitive Computing and Geometric Space Transformation

本專著向讀者介紹將認知計算和幾何空間轉換應用於故障診斷和預測領域的新理論和方法。它總結了故障診斷和預測技術的基本概念和技術方面。針對現有的瓶頸問題進行了檢視，並解釋了應用認知計算和幾何空間轉換的優勢。書中強調了基於認知計算方法的故障診斷、預測和健康評估技術，包括深度學習、轉移學習、視覺認知和壓縮感知。最後，涵蓋了基於微分幾何、空間轉換和模式識別的技術。

Chen Lu received his PhD in Power Machinery Engineering from Dalian University of Technology. He is currently the full professor and director of Institute of Reliability Engineering at Beihang University and serves as the executive deputy director of the National Key Laboratory of Reliability and Environmental Engineering Technology (Beihang University) . Prof. Chen Lu has won a number of national and provincial leading talent titles and honors. He is Fellow of IET (Institution of Engineering and Technology) and Fellow of ISEAM (International Society of Engineering Asset Management). His research interests include fault diagnosis, prognostics and health management, and intelligent maintenance systems, where he has published more than 150 refereed papers in journals and conferences, including more than 70 in SCI-indexed journals. He has coauthored three academic books and was granted over 60 invention patents.

Laifa Tao received the BSc and PhD degrees from the School of Reliability and Systems Engineering, Beihang University, in 2010 and 2014, respectively. He is currently the full professor with the School of Reliability and Systems Engineering, Beihang University, and has been listed in national youth top talent. His research interests include fault diagnosis, prognostics, health state assessment, optimization and determination, and health management for complex systems.

Jian Ma received the BS degree in automation and the MS and PhD degrees in systems engineering from Beihang University, China, in 2009, 2012, and 2015, respectively. He was a visiting scholar with ENSMM, France, from 2018 to 2019. He is currently an associate professor with the School of Reliability and Systems Engineering, Beihang University, and has been listed in national youth top talent. His current interests of research mainly include intelligent fault diagnosis and prognostics and system health management.

Yujie Cheng received her PhD degree in the School of Reliability and Systems Engineering at Beihang University in 2016. She was a postdoctor in FEMTO-ST/ ENSMM, Besancon, France, sponsored by China Scholarship Council from 2017 to 2018. Now she is working as an associate professor at Beihang University. Her current interests of research are focusing on intelligent fault diagnosis, prognostics, and maintenance decision for complex systems.

Yu Ding received his PhD degree in systems engineering from Beihang University, Beijing, China, in 2019. He is currently an associate professor with the Institute of Reliability Engineering, Beihang University, Beijing, China. His research interests cover prognostics and health management, fault diagnosis, deep learning, and deep reinforcement learning. He has authored or co-authored over 20 publications in journals and received the Excellent Doctoral Dissertation Award in 2021 from the Chinese Society of Aeronautics and Astronautics.

陳璐於大連理工大學獲得動力機械工程博士學位。目前他是北京航空航天大學可靠性工程研究所的全職教授及所長，並擔任國家可靠性與環境工程技術重點實驗室（北京航空航天大學）的執行副所長。陳教授獲得多項國家及省級的優秀人才稱號和榮譽。他是IET（工程與技術學會）和ISEAM（國際工程資產管理學會）的會士。他的研究興趣包括故障診斷、預測與健康管理以及智能維護系統，已在期刊和會議上發表超過150篇經審稿的論文，其中70篇以上發表在SCI索引期刊上。他共同編著了三本學術書籍，並獲得超過60項發明專利。

陶來法於2010年和2014年分別獲得北京航空航天大學可靠性與系統工程學院的學士和博士學位。目前他是北京航空航天大學可靠性與系統工程學院的全職教授，並被列入國家青年人才名單。他的研究興趣包括故障診斷、預測、健康狀態評估、優化與決策以及複雜系統的健康管理。

馬健於2009年、2012年和2015年分別獲得中國北京航空航天大學自動化學士學位、系統工程碩士學位和博士學位。他於2018年至2019年期間在法國ENSMM擔任訪問學者。目前他是北京航空航天大學可靠性與系統工程學院的副教授，並被列入國家青年人才名單。他目前的研究興趣主要包括智能故障診斷、預測及系統健康管理。

程宇潔於2016年在北京航空航天大學可靠性與系統工程學院獲得博士學位。她於2017年至2018年期間在法國Besancon的FEMTO-ST/ENSMM擔任博士後，並由中國國家留學基金委資助。現在她在北京航空航天大學擔任副教授。她目前的研究興趣集中在複雜系統的智能故障診斷、預測及維護決策上。

丁宇於2019年在中國北京航空航天大學獲得系統工程博士學位。目前他是北京航空航天大學可靠性工程研究所的副教授。他的研究興趣涵蓋預測與健康管理、故障診斷、深度學習及深度強化學習。他已在期刊上發表或共同發表超過20篇論文，並於2021年獲得中國航空航天學會的優秀博士論文獎。