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西安交通大学 [25]

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限定条件	专题：西安交通大学第一署名单位第一作者单位通讯作者单位

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	A Wiener Process Model-based Method for Remaining Useful Life Prediction Considering Unit-to-Unit Variability 期刊论文 IEEE Transactions on Industrial Electronics, 2019, 卷号: 66, 页码: 2092-2101 作者: Li, Naipeng; Lei, Yaguo; Yan, Tao; Li, Ningbo; Han, Tianyu 收藏 \| 浏览/下载：27/0 \| 提交时间：2019/11/19 Particle Filtering Prediction algorithms Predictive models Remaining useful life predictions unit-to-unit variability Wiener process
	Applications of stochastic resonance to machinery fault detection: A review and tutorial 期刊论文 Mechanical Systems and Signal Processing, 2019, 卷号: 122, 页码: 502-536 作者: Qiao, Zijian; Lei, Yaguo; Li, Naipeng 收藏 \| 浏览/下载：58/0 \| 提交时间：2019/11/19 Academic journal Advanced researches Fault characteristics Fundamental theory Machinery fault detection Rolling Element Bearing Rotary components Stochastic resonances
	Remaining Useful Life Prediction of Machinery Subjected to Two-Phase Degradation Process 会议论文作者: Yan, Tao; Lei, Yaguo; Li, Naipeng 收藏 \| 浏览/下载：5/0 \| 提交时间：2019/11/26 interactive multiple model particle filter remaining useful life prediction two-phase degradation process
	Deep Convolutional Transfer Learning Network: A New Method for Intelligent Fault Diagnosis of Machines with Unlabeled Data 期刊论文 IEEE Transactions on Industrial Electronics, 2018 作者: Guo, Liang; Lei, Yaguo; Xing, Saibo; Yan, Tao; Li, Naipeng 收藏 \| 浏览/下载：6/0 \| 提交时间：2019/11/26 bearing Convolution Convolutional neural network Fault diagnosis Feature extraction intelligent fault diagnosis Learning systems Probability distribution Testing Training Transfer learning
	Machinery health prognostics: A systematic review from data acquisition to RUL prediction 期刊论文 MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2018, 卷号: 104, 页码: 799-834 作者: Lei, Yaguo; Li, Naipeng; Guo, Liang; Li, Ningbo; Yan, Tao 收藏 \| 浏览/下载：12/0 \| 提交时间：2019/11/26 Data acquisition Health indicator construction Health stage division Machinery prognostics Remaining useful life prediction
	Machinery health indicator construction based on convolutional neural networks considering trend burr 期刊论文 NEUROCOMPUTING, 2018, 卷号: 292, 页码: 142-150 作者: Guo, Liang; Lei, Yaguo; Li, Naipeng; Yan, Tao; Li, Ningbo 收藏 \| 浏览/下载：7/0 \| 提交时间：2019/11/26 Deep learning Machinery health indicator Convolutional neural network Outlier region correction Trend burr
	Machine remaining useful life prediction considering unit-to-unit variability 会议论文作者: Li, Naipeng; Lei, Yaguo; Li, Ningbo; Lin, Jing 收藏 \| 浏览/下载：10/0 \| 提交时间：2019/11/26 Dependent stochastic process Machine remaining useful lives Particle Filtering Predictive maintenance Remaining useful life predictions Stochastic process model unit-to-unit variability Useful life
	Deep convolution feature learning for health indicator construction of bearings 会议论文作者: Guo, Liang; Lei, Yaguo; Li, Naipeng; Xing, Saibo 收藏 \| 浏览/下载：3/0 \| 提交时间：2019/11/26 health indicator construction feature learning convolution neural netwrok bearing
	Incipient Fault Detection for Rolling Element Bearings under Varying Speed Conditions 期刊论文 MATERIALS, 2017, 卷号: 10 作者: Xue, Lang; Li, Naipeng; Lei, Yaguo; Li, Ningbo 收藏 \| 浏览/下载：10/0 \| 提交时间：2019/11/26 rolling element bearings incipient fault detection varying speed adaptive threshold alarm trigger mechanism
	An improved fusion prognostics method for remaining useful life prediction of bearings 会议论文作者: Wang, Biao; Lei, Yaguo; Li, Naipeng; Lin, Jing 收藏 \| 浏览/下载：8/0 \| 提交时间：2019/11/26 Critical technique Failure thresholds Generalization performance Prediction accuracy Prediction performance Relevance Vector Machine Remaining useful life predictions Unscheduled maintenance

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