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西安交通大学 [18]

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	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
	A LOF-based method for abnormal segment detection in machinery condition monitoring 会议论文作者: Xu, Xuefang; Lei, Yaguo; Zhou, Xin 收藏 \| 浏览/下载：9/0 \| 提交时间：2019/11/26 abnormal segment detection machinery condition monitoring local outlier factor big data outlier
	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
	A Dirty Data Recognition Method for Machinery Condition Monitoring in Big Data Era 会议论文作者: Lei, Yaguo; Zhou, Xin; Xu, Xuefang; Jia, Feng 收藏 \| 浏览/下载：3/0 \| 提交时间：2019/11/26 volatility dirty data recognition heteroskedasticity big data condition monitoring
	A new model for calculating time-varying gearmesh stiffness 会议论文作者: Lei, Yaguo; Wang, Delong; Liu, Zongyao; Yang, Xiao 收藏 \| 浏览/下载：7/0 \| 提交时间：2019/11/26 Calculating time Exponential curve model Gear mesh stiffness Gear vibration Saint Venant's principle Time varying Tooth crack
	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
	Intelligent Fault Diagnosis of Rotating Machinery Using Locally Connected Restricted Boltzmann Machine in Big Data Era 会议论文作者: Xing, Saibo; Lei, Yaguo; Jia, Feng; Lin, Jing 收藏 \| 浏览/下载：4/0 \| 提交时间：2019/11/26 Unsupervised feature learning rotating machinery locally connected restricted Boltzmann machine intelligent fault diagnosis
	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
	Weak signal detection based on underdamped multistable stochastic resonance 会议论文作者: Lei, Yaguo; Qiao, Zijian; Xu, Xuefang; Lin, Jing 收藏 \| 浏览/下载：7/0 \| 提交时间：2019/11/26 weak signal detection fault diagnosis rolling element bearings Signal processing multistable stochastic resonance
	A Distance Metric Learning Based Health Indicator for Health Prognostics of Bearings 会议论文作者: Lei, Yaguo; Niu, Shantao; Guo, Liang; Li, Naipeng 收藏 \| 浏览/下载：3/0 \| 提交时间：2019/11/26 distance metric learning health indicator health prognostic

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