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科研机构

西安交通大学 [3]

兰州理工大学 [2]

湖南大学 [2]

重庆大学 [1]

自动化研究所 [1]

四川大学 [1]

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	Rolling bearing fault diagnosis by Markov transition field and multi-dimension convolutional neural network 期刊论文 Measurement Science and Technology, 2022, 卷号: 33, 期号: 11 作者: Lei, Chunli; Xue, Linlin; Jiao, Mengxuan; Zhang, Huqiang; Shi, Jiashuo 收藏 \| 浏览/下载：44/0 \| 提交时间：2022/09/22 Chemical activation Convolution Convolutional neural networks Fault detection Neural network models Roller bearings Activation functions Condition Convolutional neural network E-rectified linear unit activation function Faults diagnosis Linear units Markov transition field Multi dimensions Multi-dimension attention Transition fields
	A Signal Based “W” Structural Elements for Multi-scale Mathematical Morphology Analysis and Application to Fault Diagnosis of Rolling Bearings of Wind Turbines 期刊论文 International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 6, 页码: 993-1006 作者: Qiang Li 收藏 \| 浏览/下载：24/0 \| 提交时间：2021/11/26 Fault diagnosis structural element multi-scale mathematical morphology rolling bearing correlation analysis
	Method Integrate EWT Multi-scale Permutation Entropy with GG Clustering for Bearing Fault Diagnosis 期刊论文 Zhendong Ceshi Yu Zhenduan/Journal of Vibration, Measurement and Diagnosis, 2019, 卷号: 39, 期号: 2, 页码: 416-423 作者: Zhao, Rongzhen; Li, Jipu; Deng, Linfeng 收藏 \| 浏览/下载：13/0 \| 提交时间：2020/11/14 Correlation methods Entropy Failure analysis Fault detection Principal component analysis Roller bearings Wavelet transforms Bearing fault diagnosis Correlation analysis Fault diagnosis method GG clustering Intrinsic mode components Mode combination method Non stationary characteristics Permutation entropy
	Linear maximum margin tensor classification based on flexible convex hulls for fault diagnosis of rolling bearings 期刊论文 Knowledge-Based Systems, 2019 作者: Zhiyi He; Junsheng Cheng; Juan Li; Yu Yang 收藏 \| 浏览/下载：11/0 \| 提交时间：2019/12/13 Rolling bearings Fault diagnosis Support tensor machine Maximum margin tensor classification Flexible convex hull
	Linear maximum margin tensor classification based on flexible convex hulls for fault diagnosis of rolling bearings 期刊论文 KNOWLEDGE-BASED SYSTEMS, 2019, 卷号: Vol.173, 页码: 62-73 作者: He, ZY; Cheng, JS; Li, J; Yang, Y 收藏 \| 浏览/下载：4/0 \| 提交时间：2019/12/17
	A novel bearing fault diagnosis method based on principal component analysis and BP neural network 会议论文 Changsha, China, November 1-3, 2019 作者: Sun Y(孙越); Xu AD(徐皑冬); Wang K(王锴); Han XJ(韩晓佳); Guo HF(郭海丰) 收藏 \| 浏览/下载：25/0 \| 提交时间：2020/06/21 Fault diagnosis rolling bearing principal component analysis wavelet packet energy high dimensional features
	Time-dependent hysteresis friction behaviors of linear rolling bearings 会议论文作者: Xi, Yinhu; Zhao, Yang; Larsson, Roland; Mao, Junhong 收藏 \| 浏览/下载：10/0 \| 提交时间：2019/11/19 Pre-rolling Time dependent Hysteresis friction Linear rolling bearings
	Predicting the remaining useful life of rolling element bearings using locally linear fusion regression 期刊论文 2018, 卷号: 34, 页码: 3735-3746 作者: Cheng, Zhiwei[1,2]; Cai, Bin[1,2] 收藏 \| 浏览/下载：18/0 \| 提交时间：2019/11/30
	Multiscale Representations Fusion With Joint Multiple Reconstructions Autoencoder for Intelligent Fault Diagnosis 期刊论文 IEEE Signal Processing Letters, 2018, 卷号: Vol.25 No.12, 页码: 1880-1884 作者: Hui Yu; Kai Wang; Yan Li 收藏 \| 浏览/下载：8/0 \| 提交时间：2019/02/28 Vibrations Fault diagnosis Feature extraction Linear programming Rolling bearings Vibration measurement Autoencoder features fusion intelligent fault diagnosis joint learning multiscale representations learning
	Study on nonlinear stiffness of rolling ball bearing under varied operating conditions 会议论文作者: Li, Yamin; Cao, Hongrui; Zhu, Yongsheng 收藏 \| 浏览/下载：3/0 \| 提交时间：2019/12/10 Bearing stiffness Bearing-rotor system Non-linear stiffness Operating condition Rolling ball bearings Rolling bearings Rolling Element Bearing Rotor-bearing system

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