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科研机构
兰州理工大学 [27]
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期刊论文 [25]
会议论文 [2]
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2022 [3]
2021 [6]
2020 [1]
2019 [1]
2018 [4]
2017 [1]
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专题:兰州理工大学
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A remaining useful life prediction method based on time–frequency images of the mechanical vibration signals
期刊论文
Measurement: Journal of the International Measurement Confederation, 2022, 卷号: 202
作者:
Du, Xianjun
;
Jia, Wenchao
;
Yu, Ping
;
Shi, Yaoke
;
Cheng, Shengyi
收藏
  |  
浏览/下载:32/0
  |  
提交时间:2022/09/22
Convolution
Forecasting
Preventive maintenance
Rotating machinery
Vibrations (mechanical)
Wavelet transforms
Attention mechanisms
Continuous Wavelet Transform
Convolutional neural network
Degradation trend
Feature map
Remaining useful life predictions
Rolling bearings
Spectral feature
Time frequency
Time–frequency spectral feature map
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
Health Condition Identification of Rolling Element Bearing Based on Gradient of Features Matrix and MDDCs-MRSVD
期刊论文
IEEE Transactions on Instrumentation and Measurement, 2022, 卷号: 71, 页码: 1-1
作者:
Meng, Jiadong
;
Yan, Changfeng
;
Wang, Zonggang
;
Wen, Tao
;
Chen, Guangyi
收藏
  |  
浏览/下载:16/0
  |  
提交时间:2022/08/09
Condition based maintenance
Condition monitoring
Health
Interactive computer systems
Roller bearings
Feature matrices
Gradient
Health condition
Initial faults
Maximal difference of detail component in multi-resolution singular value decomposition algorithm
Monitoring indicators
Real
Time system
Rolling Element Bearing
Singular value decomposition algorithms
Vibration
Fault Classification Method of Rolling Bearing Based on Cloud Theory and ReliefHF
期刊论文
Zhendong Ceshi Yu Zhenduan/Journal of Vibration, Measurement and Diagnosis, 2021, 卷号: 41, 期号: 4, 页码: 667-672
作者:
Ma, Sencai
;
Zhao, Rongzhen
;
Wu, Yaochun
;
DENG, Linfeng
收藏
  |  
浏览/下载:11/0
  |  
提交时间:2022/02/17
Knowledge based systems
Classification accuracy
Classification methods
Cloud classification
Cloud distributions
Fault classification
Noise resistance
Rolling bearings
Weight coefficients
Intelligent fault diagnosis of rolling bearings using a semi-supervised convolutional neural network
期刊论文
Applied Intelligence, 2021, 卷号: 51, 期号: 4, 页码: 2144-2160
作者:
Wu, Yaochun
;
Zhao, Rongzhen
;
Jin, Wuyin
;
He, Tianjing
;
Ma, Sencai
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2021/06/03
Convolution
Deep learning
Failure analysis
Fault detection
Learning systems
Roller bearings
Semi-supervised learning
Vibration analysis
Class probabilities
Diagnosis performance
Intelligent fault diagnosis
Inter-class distance
Learning methods
Maximum margin criterions
Rolling bearings
Vibration signal
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
Rolling Bearing Fault Diagnosis Based on One-Dimensional Dilated Convolution Network With Residual Connection
期刊论文
IEEE ACCESS, 2021, 卷号: 9, 页码: 31078-31091
作者:
Liang, Haopeng
;
Zhao, Xiaoqiang
收藏
  |  
浏览/下载:21/0
  |  
提交时间:2021/03/12
Convolution
Fault diagnosis
Feature extraction
Rolling bearings
Vibrations
Kernel
Load modeling
Different load domains
different noisy environments
dilated convolution
one-dimensional convolution neural network
rolling bearing fault diagnosis
residual connection
A New Method of Fault Feature Extraction Based on Hierarchical Dispersion Entropy
期刊论文
Shock and Vibration, 2021, 卷号: 2021
作者:
Chen, Peng
;
Zhao, Xiaoqiang
;
Jiang, Hongmei
收藏
  |  
浏览/下载:24/0
  |  
提交时间:2021/04/12
Dispersions
Entropy
Extraction
Failure analysis
Feature extraction
Gaussian noise (electronic)
Nearest neighbor search
Roller bearings
Signal processing
White noise
Fault diagnosis method
Fault feature extractions
Feature information
Gaussian white noise
K-nearest neighbor classifiers (KNN)
Low frequency band
Rolling bearings
Vibration signal
Rolling Bearing Fault Diagnosis Based on One-Dimensional Dilated Convolution Network with Residual Connection
期刊论文
IEEE Access, 2021, 卷号: 9, 页码: 31078-31091
作者:
Liang, Haopeng
;
Zhao, Xiaoqiang
收藏
  |  
浏览/下载:63/0
  |  
提交时间:2021/04/12
Convolution
Failure analysis
Fault detection
Multilayer neural networks
Time domain analysis
Connection structures
Convolution neural network
Feature learning
Noisy environment
Residual structure
Rolling bearings
Time-domain signal
Weight coefficients
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
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