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兰州理工大学 [11]

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	Intelligent fault diagnosis of train bearing based on ISTOA-VMD and SE-WDCNN 期刊论文 JOURNAL OF VIBRATION AND CONTROL, 2023, 页码: 12 作者: He, Deqiang; Zou, Xueyan; Jin, Zhenzhen; Yan, Jingren; Ren, Chonghui 收藏 \| 浏览/下载：0/0 \| 提交时间：2023/12/07 intelligent fault diagnosis train bearing improved sooty tern optimization algorithm variational mode decomposition deep convolutional neural network
	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：33/0 \| 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
	Adversarial domain adaptation convolutional neural network for intelligent recognition of bearing faults 期刊论文 Measurement: Journal of the International Measurement Confederation, 2022, 卷号: 195 作者: Wu, Yaochun; Zhao, Rongzhen; Ma, Hongru; He, Qiang; Du, Shaohua 收藏 \| 浏览/下载：30/0 \| 提交时间：2022/04/21 Convolution Machinery Bearing Bearing fault Convolutional neural network Domain adaptation Fault recognition Intelligent fault recognition Intelligent recognition Recognition methods Target domain Varying working conditions
	Intelligent Fault Identification Method Based on Convolutional Neural Network for Imbalanced Data 期刊论文 Zhendong Ceshi Yu Zhenduan/Journal of Vibration, Measurement and Diagnosis, 2022, 卷号: 42, 期号: 2, 页码: 299-307 作者: Wu, Yaochun; Zhao, Rongzhen; Jin, Wuyin; Xing, Ziyang 收藏 \| 浏览/下载：13/0 \| 提交时间：2022/06/20 Convolutional neural networks Machinery Class spaces Convolutional neural network Fault identifications Identification method Imbalanced data Intelligent fault diagnosis Min-max Min-max objective func-tion Net work Objective functions
	A Cloud Edge Collaborative Intelligence Method of Insulator String Defect Detection for Power IIoT 期刊论文 IEEE Internet of Things Journal, 2021, 卷号: 8, 期号: 9, 页码: 7510-7520 作者: Song CH(宋纯贺); Xu WX(徐文想); Han GJ(韩光洁); Zeng P(曾鹏); Wang ZF(王忠锋) 收藏 \| 浏览/下载：18/0 \| 提交时间：2020/12/18 IIoT artificial intelligence edge computing insulator string defect recognition
	Research on Rotating Machinery Fault Diagnosis Method Based on Energy Spectrum Matrix and Adaptive Convolutional Neural Network 期刊论文 PROCESSES, 2021, 卷号: 9, 期号: 1, 页码: 1-25 作者: Liu YY(刘意杨); Yang YS(杨友胜); Feng TY(冯铁); Sun Y(孙懿); Zhang XJ(张雪健) 收藏 \| 浏览/下载：10/0 \| 提交时间：2021/02/14 hierarchical fault diagnosis energy spectrum matrix dynamic adjustment of the learning rate convolutional neural network rotating machinery
	Automatic Recognition of Sucker-Rod Pumping System Working Conditions Using Few-Shot Indicator Diagram Based on Meta-learning 会议论文 Chicago, May 26-28, 2021 作者: He YP(贺云鹏); Zang CZ(臧传治); Zeng P(曾鹏); Wang MX(王明新); Wan GX(万广喜) 收藏 \| 浏览/下载：31/0 \| 提交时间：2021/08/21 Few-shot learning Indicator diagram Meta-learning Sucker-rod pumping system Working condition recognition
	Research on Fault Diagnosis Method of Rod Pumping Wells Based on CNN_APRCSO_SVM 会议论文 Chicago, May 26-28, 2021 作者: Wang MX(王明新); Zang CZ(臧传治); Ji ZP(纪振平); He YP(贺云鹏); Zeng P(曾鹏) 收藏 \| 浏览/下载：10/0 \| 提交时间：2021/08/21 Rod pumping well Fault diagnosis Indicator diagrams Convolutional neural network (CNN) Support vector machine (SVM) Chicken swarm optimization (CSO) Algorithm optimization
	Deep prototypical networks based domain adaptation for fault diagnosis 期刊论文 JOURNAL OF INTELLIGENT MANUFACTURING, 2020, 页码: 11 作者: Wang, Huanjie; Bai, Xiwei; Tan, Jie; Yang, Jiechao 收藏 \| 浏览/下载：14/0 \| 提交时间：2021/01/06 Bearing Fault diagnosis Domain adaptation Prototype learning
	Dimension reduction of a rotor faults data set based on standard orthogonal discriminant projection 期刊论文 Zhendong yu Chongji/Journal of Vibration and Shock, 2020, 卷号: 39, 期号: 18, 页码: 96-102 作者: Shi, Mingkuan; Zhao, Rongzhen 收藏 \| 浏览/下载：5/0 \| 提交时间：2022/02/17 Decision making Dimensionality reduction Frequency domain analysis Machinery Pattern recognition Time domain analysis Dimension reduction Dimensionality reduction algorithms Discriminant informations High dimensional feature Intelligent decision making Rotor fault diagnosis Sensitive features Time frequency domain

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