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兰州理工大学 [33]

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	An early composite fault feature extraction method of bearing based on square envelope spectrum negentropy criterion 期刊论文 Zhendong yu Chongji/Journal of Vibration and Shock, 2022, 卷号: 41, 期号: 8, 页码: 179-187 作者: Chen, Peng; Zhao, Xiaoqiang 收藏 \| 浏览/下载：8/0 \| 提交时间：2022/06/20 Failure analysis Fault detection Spectrum analysis Bearing Composite fault Early composite fault diagnose Envelope spectra Faults diagnosis Grasshopper optimization algorithm Negentropy Optimization algorithms Square envelope spectrum negentropy Swarm decomposition
	Fault diagnosis of rotor based on Semi-supervised Multi-Graph Joint Embedding 期刊论文 ISA Transactions, 2022 作者: Yuan, Jianhui; Zhao, Rongzhen; He, Tianjing; Chen, Pengfei; Wei, Kongyuan 收藏 \| 浏览/下载：18/0 \| 提交时间：2022/07/20 Clustering algorithms Data reduction Failure analysis Fault detection Graph theory Supervised learning Dimensionality reduction Embeddings Fault data Faults diagnosis High-dimensional Hyper graph Hypergraph structure Rotor systems Sample point Semi-supervised
	A Fault Diagnosis Method of Rotating Machinery Based on LBDP 期刊论文 Zhongguo Jixie Gongcheng/China Mechanical Engineering, 2021, 卷号: 32, 期号: 14, 页码: 1653-1658 and 1668 作者: Shi, Mingkuan; Zhao, Rongzhen 收藏 \| 浏览/下载：12/0 \| 提交时间：2022/02/17 Dimensionality reduction Frequency domain analysis Machinery Nearest neighbor search Complex characteristics Dimensionality reduction algorithms Discriminant informations Fault classification Fault diagnosis method High dimensional feature K-nearest neighbor classifiers (KNN) Time frequency domain
	Fault feature extraction of rolling bearing integrating KPCA and t-SNE 期刊论文 Zhendong Gongcheng Xuebao/Journal of Vibration Engineering, 2021, 卷号: 34, 期号: 2, 页码: 431-440 作者: Wang, Wang-Wang; Deng, Lin-Feng; Zhao, Rong-Zhen; Wu, Yao-Chun 收藏 \| 浏览/下载：68/0 \| 提交时间：2022/02/17 Clustering algorithms Data mining Extraction Feature extraction Frequency domain analysis Nearest neighbor search Stochastic systems Time domain analysis Fault feature extractions Feature extraction methods Global and local structures High dimensional feature K-nearest neighbor classifier Kernel principal component analyses (KPCA) Rolling bearing vibration Stochastic neighbor embedding
	Rolling Bearing Fault Identification Based on Quantum-Behaved Particle Swarm Optimization and Multi-scale Permutation Entropy 期刊论文 Zhendong Ceshi Yu Zhenduan/Journal of Vibration, Measurement and Diagnosis, 2021, 卷号: 41, 期号: 1, 页码: 62-68 作者: Wang, Wangwang; Deng, Linfeng; Zhao, Rongzhen; Zhang, Aihua 收藏 \| 浏览/下载：20/0 \| 提交时间：2021/04/12 Clustering algorithms Entropy Fuzzy clustering Particle swarm optimization (PSO) Signal reconstruction Ensemble empirical mode decompositions (EEMD) Fault feature extractions Fault recognition Intrinsic Mode functions Permutation entropy Quantum-behaved particle swarm optimization Rolling bearings Vibration signal
	Fault Feature Extraction Method For Rotor Fusion of IMF Singular Value Entropy and Improved LE 期刊论文 Zhendong Ceshi Yu Zhenduan/Journal of Vibration, Measurement and Diagnosis, 2020, 卷号: 40, 期号: 6, 页码: 1204-1211 作者: Sun, Zejin; Zhao, Rongzhen 收藏 \| 浏览/下载：12/0 \| 提交时间：2022/02/17 Entropy Extraction Feature extraction Learning algorithms Nearest neighbor search Statistical tests Ensemble empirical mode decompositions (EEMD) Fault feature extractions Fault identifications Intrinsic Mode functions K nearest neighbor (KNN) Manifold learning algorithm Probability distance Sensitive components
	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
	A novel classification method based on ICGOA-KELM for fault diagnosis of rolling bearing 期刊论文 Applied Intelligence, 2020, 卷号: 50, 期号: 无, 页码: 2833-2847 作者: Peng Chen; Xiaoqiang Zhao; Qixian Zhu 收藏 \| 浏览/下载：14/0 \| 提交时间：2020/11/06 Chaotic systems Computer aided diagnosis Damage detection Failure analysis Fault detection Machine learning Optimization Extreme learning machine Fault detection and classification Global searching ability Heuristic optimization algorithms ICGOA- KELM Intrinsic Mode functions Optimization algorithms Rolling bearings
	Rolling bearing fault diagnosis method based on improved Alexnet and PSO-BFA 期刊论文 Zhendong yu Chongji/Journal of Vibration and Shock, 2020, 卷号: 39, 期号: 7, 页码: 21-28 作者: Zhao, Xiaoqiang; Zhang, Qingqing; Chen, Peng; Zhu, Qixian 收藏 \| 浏览/下载：19/0 \| 提交时间：2020/11/14 Complex networks Failure analysis Fault detection Iterative methods Particle swarm optimization (PSO) Bacterial foraging algorithm Convolution neural network Diagnostic accuracy Generalization performance Iterative Optimization Multiple iterations Structure parameter Swarm intelligence algorithms
	Rolling Bearing Fault Diagnosis Using a Deep Convolutional Autoencoding Network and Improved Gustafson-Kessel Clustering 期刊论文 Shock and Vibration, 2020, 卷号: 2020 作者: Wu, Yaochun; Zhao, Rongzhen; Jin, Wuyin; Deng, Linfeng; He, Tianjing 收藏 \| 浏览/下载：10/0 \| 提交时间：2022/02/18 Clustering algorithms Convolution Convolutional neural networks Deep learning Deep neural networks Failure analysis Roller bearings Stochastic systems

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