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6篇 您的检索式:作者名="Nagi Gebraeel"
    题名 作者 年代 出处 被引量
1Residual life predictions from vibration-based degradation signals: A neural network approach显示文摘Nagi Gebraeel Mark Lawley Liu R 2004IEEE Trans on Industrial Electronics2004,51,3:1
2Residual life predictions from vibration-based degradationsignals: A neural network approach显示文摘Nagi Gebraeel Mark Lawley 2004IEEE Transactions on Industrial Electronics2004,51,3:1
3Mark Lawley Residual Life Predictions FromVibration-Based Degradation Signals:A Neural Network Ap-proach A Neural Network Approach显示文摘Nagi Gebraeel 2004IEEE Transactionson Industrial Electronics2004,51,3:1
4Residual life predictions from vibration-based degradation signals:a neuralnetwork approach显示文摘Nagi Gebraeel Mark Lawley R Liu Vijay Parmeshwaran 2004IEEE Transactions on Industrial Elecronics2004,51,3:1
5Residual life predictions from vibration-based degradation signals: a neural network approach 显示文摘Nagi Gebraeel Mark Lawley Liu R 2004IEEE Transactions on Industrial Elecronics2004,51,3:1
6Prognostics and Remaining Useful Life Prediction of Machinery:Advances,Opportunities,and Challenges显示文摘As the fundamental and key technique to ensure the safe and reliable operation of vital systems,prognostics with an emphasis on the remaining useful life(RUL)prediction has attracted great attention in the last decades.In this paper,we briefly discuss the general idea and advances of various prognostics and RUL prediction methods for machinery,mainly including data-driven methods,physics-based methods,hybrid methods,etc.Based on the observations fromthe state of the art,we provide comprehensive discussions on the possible opportunities and challenges of prognostics and RUL prediction of machinery so as to steer the future development.JDMD Editorial Office Nagi Gebraeel Yaguo Lei Naipeng Li Xiaosheng Si Enrico Zio 2023Journal of Dynamics, Monitoring and Diagnostics2023,2,1:1
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