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科研机构
兰州理工大学 [9]
内容类型
期刊论文 [9]
发表日期
2020 [9]
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发表日期:2020
专题:兰州理工大学
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Bearing Intelligent Fault Diagnosis Based on Wavelet Transform and Convolutional Neural Network
期刊论文
Shock and Vibration, 2020, 卷号: 2020, 期号: 2020, 页码: 1-14
作者:
Guo, Junfeng
;
Liu, Xingyu
;
Li, Shuangxue
;
Wang, Zhiming
收藏
  |  
浏览/下载:6/0
  |  
提交时间:2020/12/31
Convolution
Convolutional neural networks
Extraction
Failure analysis
Fault detection
Feature extraction
Wavelet transformsFault diagnosis method
Fault feature extractions
Feature extraction and classification
Intelligent fault diagnosis
Mechanical equipment
Orthogonal matching pursuit
Real-time fault diagnosis
Time frequency transform
Fault Diagnosis Method for Rolling Bearing under Variable Working Conditions Using Improved Residual Neural Network
期刊论文
Hsi-An Chiao Tung Ta Hsueh/Journal of Xi'an Jiaotong University, 2020, 卷号: 54, 期号: 9, 页码: 23-31
作者:
Zhao, Xiaoqiang
;
Liang, Haopeng
收藏
  |  
浏览/下载:17/0
  |  
提交时间:2020/11/14
Convolution
Failure analysis
Fault detection
Microphones
Neural networks
Time domain analysis
End-to-end connections
Fault diagnosis method
Feature information
Generalization ability
Learning efficiency
Neural network method
Time-varying characteristics
Working environment
A Method of Rolling Bearing Fault Diagnose Based on Double Sparse Dictionary and Deep Belief Network
期刊论文
IEEE Access, 2020, 卷号: 8, 期号: 7, 页码: 116239-116253
作者:
Junfeng Guo
;
Pengfei Zheng
收藏
  |  
浏览/下载:6/0
  |  
提交时间:2020/11/11
Sparse representation
double sparse dictionary
deep belief network (DBN)
bearing fault diagnosis
feature extraction.
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
Improved Alexnet Based Fault Diagnosis Method for Rolling Bearing Under Variable Conditions
期刊论文
Zhendong Ceshi Yu Zhenduan/Journal of Vibration, Measurement and Diagnosis, 2020, 卷号: 40, 期号: 3, 页码: 472-480
作者:
Zhao, Xiaoqiang
;
Zhang, Qingqing
收藏
  |  
浏览/下载:19/0
  |  
提交时间:2020/11/14
Convolution
Failure analysis
Fault detection
Iterative methods
Time domain analysis
Complex condition
Fault diagnosis method
Iterative Optimization
State identification
Time-domain signal
Two-dimensional features
Two-dimensional spectrum
Variable conditions
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:17/0
  |  
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
Distinguish coherence resonance and stochastic resonance in bearing fault evaluation
期刊论文
MEASUREMENT SCIENCE AND TECHNOLOGY, 2020, 卷号: 31, 期号: 4
作者:
Yang, Chen
;
Yang, Jianhua
;
Zhu, Zhencai
;
Shen, Gang
;
Zheng, Yuqiao
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2020/06/16
coherence resonance
stochastic resonance
fault diagnosis
autocorrelation function
resonance factor
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:9/0
  |  
提交时间:2022/02/18
Clustering algorithms
Convolution
Convolutional neural networks
Deep learning
Deep neural networks
Failure analysis
Roller bearings
Stochastic systems
An antinoise fault diagnosis method based on multiscale 1DCNN
期刊论文
Shock and Vibration, 2020, 卷号: 2020
作者:
Cao, Jie
;
He, Zhidong
;
Wang, Jinhua
;
Yu, Ping
收藏
  |  
浏览/下载:2/0
  |  
提交时间:2022/02/18
Classification (of information)
Convolution
Frequency shift keying
Phase shift keying
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