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科研机构
兰州理工大学 [6]
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期刊论文 [5]
会议论文 [1]
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2021 [2]
2020 [1]
2019 [2]
2017 [1]
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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:19/0
  |  
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
Harmonic Detection Technology for Power Grids Based on Adaptive Ensemble Empirical Mode Decomposition
期刊论文
IEEE Access, 2021, 卷号: 9, 页码: 21218-21226
作者:
Shi, Jianming
;
Liu, Zhongmin
收藏
  |  
浏览/下载:16/0
  |  
提交时间:2021/03/02
Deep neural networks
Electric power system control
Harmonic analysis
Neural networks
Particle swarm optimization (PSO)
Adaptive modeling
Ensemble empirical mode decomposition
Ensemble empirical mode decompositions (EEMD)
Harmonic contents
Harmonic detection
Harmonic separation
Optimal decomposition
Poor performance
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
Weak Fault Feature Extraction Method for Rolling Bearings Based on SVD-EEMD and TEO Energy Spectrum
期刊论文
Zhendong Ceshi Yu Zhenduan/Journal of Vibration, Measurement and Diagnosis, 2019, 卷号: 39, 期号: 4, 页码: 720-726
作者:
Zhang, Chen
;
Zhao, Rongzhen
;
Deng, Linfeng
;
Wu, Yaochun
收藏
  |  
浏览/下载:10/0
  |  
提交时间:2020/11/14
Extraction
Feature extraction
Fourier series
Mean square error
Phase space methods
Signal processing
Singular value decomposition
Spectroscopy
Energy spectra
Ensemble empirical mode decompositions (EEMD)
Intrinsic Mode functions
Mean square error criterions
Phase space reconstruction
Sensitive features
Teager energy operators
Weak fault feature extraction
Rolling Bearing Fault Diagnosis Method Based on EEMD Singular Value Entropy
期刊论文
Zhendong Ceshi Yu Zhenduan/Journal of Vibration, Measurement and Diagnosis, 2019, 卷号: 39, 期号: 2, 页码: 353-358
作者:
Zhang, Chen
;
Zhao, Rongzhen
;
Deng, Linfeng
收藏
  |  
浏览/下载:7/0
  |  
提交时间:2020/11/14
Failure analysis
Fault detection
Mean square error
Signal processing
Singular value decomposition
Ensemble empirical mode decompositions (EEMD)
Euclidean distance
Evaluation index
Fault identifications
Information entropy method
Intrinsic Mode functions
Rolling bearings
Singular values
Fault diagnosis model based on NRS and EEMD for rolling-element bearing
会议论文
Harbin, China, July 9, 2017 - July 12, 2017
作者:
Lian, Jin
;
Zhao, Rongzhen
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  |  
浏览/下载:0/0
  |  
提交时间:2020/11/15
Classification (of information)
Computer aided diagnosis
Failure analysis
Fault detection
Support vector machines
Time domain analysis
Classification algorithm
EEMD
Ensemble empirical mode decompositions (EEMD)
Fault diagnosis model
Fault identifications
Feature attributes
Neighborhood rough sets
Rolling Element Bearing
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