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西安交通大学 [20]

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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
	An intelligent diagnosis method of rolling bearing based on multi-scale residual shrinkage convolutional neural network 期刊论文 Measurement Science and Technology, 2022, 卷号: 33, 期号: 8 作者: Zhao, Xiaoqiang; Zhang, Yazhou 收藏 \| 浏览/下载：15/0 \| 提交时间：2022/06/20 Convolutional neural networks Deep learning Failure (mechanical) Failure analysis Fault detection Roller bearings Shrinkage Bearing fault diagnosis Convolutional neural network Intelligent diagnosis methods Multi-scale residual shrinkage convolutional neural network Multi-scales Noise environments Rolling bearings Separable convolution Variable operating condition Vibration signal
	Multi-feature fusion for fault diagnosis of rotating machinery based on convolutional neural network 期刊论文 COMPUTER COMMUNICATIONS, 2021, 卷号: 173 作者: Liu, Shaoqing; Ji, Zhenshan; Wang, Yong; Zhang, Zuchao; Xu, Zhanghou 收藏 \| 浏览/下载：43/0 \| 提交时间：2021/06/15 Fault diagnosis Feature fusion Multi-feature Convolutional Neural Network (CNN) Light Gradient Boosting Machine (LightGBM)
	Mechanical Fault Diagnosis Method Based on Multi-sensor Signal Feature Fusion Using Deep Convolutional Neural Network 期刊论文 Zhendong Ceshi Yu Zhenduan/Journal of Vibration, Measurement and Diagnosis, 2021, 卷号: 41, 期号: 2, 页码: 362-369 and 416 作者: Wu, Yaochun; Zhao, Rongzhen; Jin, Wuyin; He, Tianjing; Wu, Jie 收藏 \| 浏览/下载：19/0 \| 提交时间：2022/02/17 Complex networks Convolution Convolutional neural networks Deep neural networks Failure analysis Fault detection Fault classification Feature representation Hierarchical fusions Mechanical fault diagnosis Multi-sensor information fusion Multisensor data fusion One-dimensional features Softmax regressions
	Multi-branch convolutional neural network with generalized shaft orbit for fault diagnosis of active magnetic bearing-rotor system 期刊论文 MEASUREMENT, 2021, 卷号: 171, 页码: 11 作者: Yan Xunshi; 张陈安4); Liu Y(刘洋) 收藏 \| 浏览/下载：24/0 \| 提交时间：2021/03/30 Fault diagnosis Convolutional neural network Active magnetic bearing Multi-sensor fusion Shaft orbit
	Fault Diagnosis Based on Multi-scale LSTM-FCNs for Industrial Process 会议论文 Chengdu, China, December 17-18, 2021 作者: Yang SJ(阳少杰); Li P(里鹏); Li S(李帅); Zhou XF(周晓锋); Jiang, Shanghong 收藏 \| 浏览/下载：7/0 \| 提交时间：2022/04/13 industrial process fault diagnosis multi-scale feature extraction deep neural networks variational mode decomposition
	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：25/0 \| 提交时间：2021/11/26 Fault diagnosis structural element multi-scale mathematical morphology rolling bearing correlation analysis
	Fault diagnosis method for wind turbine pitch system based on modified IMM 期刊论文 Beijing Hangkong Hangtian Daxue Xuebao/Journal of Beijing University of Aeronautics and Astronautics, 2020, 卷号: 46, 期号: 8, 页码: 1460-1468 作者: Wang, Jinhua; Zhu, Enchang; Cao, Jie; Yu, Ping 收藏 \| 浏览/下载：2/0 \| 提交时间：2020/11/14 Failure analysis Probability Wind turbines Diagnostic accuracy Error diagnosis Fault diagnosis method Gradient informations Model probabilities Model transition Multi-fault diagnosis Particle filter
	Research and Application of Fuzzy Decision Based on Multi-Agent System 期刊论文 The Journal of Supercomputing, 2020, 卷号: 76, 期号: 162, 页码: 4149–4168 作者: Zhang WX(张文旭) 收藏 \| 浏览/下载：24/0 \| 提交时间：2022/03/10 750 kV substation Fuzzy Petri net Fault diagnosis Redundant protection Multi-agent system
	One-dimensional multi-scale domain adaptive network for bearing-fault diagnosis under varying working conditions 期刊论文 SENSORS, 2020, 卷号: 20, 期号: 21, 页码: 1-17 作者: Wang K(王锴); Zhao W(赵威); Xu AD(徐皑冬); Zeng P(曾鹏); Yang SK(杨顺昆) 收藏 \| 浏览/下载：22/0 \| 提交时间：2020/11/14 domain adaptation fault diagnosis convolutional neural network multi-scale features distribution discrepancy

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