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兰州理工大学 [3]
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期刊论文 [16]
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Mechanical Fault Diagnosis Method Based on Multi-sensor Signal Feature Fusion Using Deep Convolutional Neural Network
期刊论文
Zhendong Ceshi Yu Zhenduan/Journal of Vibration, Measurement and Diagnosis, 2021, 卷号: 41, 期号: 2, 页码: 362-369 and 416
作者:
Wu, Yaochun
;
Zhao, Rongzhen
;
Jin, Wuyin
;
He, Tianjing
;
Wu, Jie
收藏
  |  
浏览/下载:16/0
  |  
提交时间:2022/02/17
Complex networks
Convolution
Convolutional neural networks
Deep neural networks
Failure analysis
Fault detection
Fault classification
Feature representation
Hierarchical fusions
Mechanical fault diagnosis
Multi-sensor information fusion
Multisensor data fusion
One-dimensional features
Softmax regressions
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
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
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  |  
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
Research and Application of Fuzzy Decision Based on Multi-Agent System
期刊论文
The Journal of Supercomputing, 2020, 卷号: 76, 期号: 162, 页码: 4149–4168
作者:
Zhang WX(张文旭)
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  |  
浏览/下载:21/0
  |  
提交时间:2022/03/10
750 kV substation
Fuzzy Petri net
Fault diagnosis
Redundant protection
Multi-agent system
Generalized grouped contributions for hierarchical fault diagnosis with group Lasso
期刊论文
Control Engineering Practice, 2019, 卷号: 93
作者:
Shang, Chao
;
Ji, Hongquan
;
Huang, Xiaolin
;
Yang, Fan
;
Huang, Dexian
收藏
  |  
浏览/下载:10/0
  |  
提交时间:2019/12/11
Fault diagnosis
Group Lasso
Grouped variable selection
Industrial alarm systems
Multivariate statistical process monitoring
Hierarchical discriminating sparse coding for weak fault feature extraction of rolling bearings
期刊论文
RELIABILITY ENGINEERING & SYSTEM SAFETY, 2019, 卷号: 184, 页码: 41-54
作者:
Jiao, Jinyang
;
Zhao, Ming
;
Lin, Jing
;
Liang, Kaixuan
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2019/12/30
Sparse coding
Fault diagnosis
Feature extraction
Rolling bearings
Intelligent fault diagnosis of rolling bearing using hierarchical convolutional network based health state classification
期刊论文
ADVANCED ENGINEERING INFORMATICS, 2017, 卷号: 32, 页码: 139-151
作者:
Lu, Chen
;
Wang, Zhenya
;
Zhou, Bo
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2019/12/30
Fault diagnosis
Convolutional neural network
Rolling bearing
Hierarchical Fault Diagnosis for a Hybrid System Based on a Multidomain Model
期刊论文
MATHEMATICAL PROBLEMS IN ENGINEERING, 2015, 卷号: 2015
作者:
Ma, Jiming
;
Guo, Jianbin
收藏
  |  
浏览/下载:7/0
  |  
提交时间:2019/12/30
A roller bearing fault diagnosis method based on hierarchical entropy and support vector machine with particle swarm optimization algorithm
期刊论文
MEASUREMENT, 2014, 卷号: 47, 页码: 669-675
作者:
Zhu, Keheng
;
Song, Xigeng
;
Xue, Dongxin
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2019/12/09
Roller bearing
Fault diagnosis
Hierarchical entropy
SVM
PSO
Fault diagnosis strategy based on complex network analysis
期刊论文
Jixie Gongcheng Xuebao/Journal of Mechanical Engineering, 2010, 卷号: 46, 期号: 3, 页码: 90-96
作者:
Du, Haifeng
;
Wang, Na
;
Zhang, Jinhua
;
Shao, Jie
;
Wang, Sunan
收藏
  |  
浏览/下载:1/0
  |  
提交时间:2019/12/18
Agglomerative hierarchical clustering
Algorithm performance
Artificial intelligent
Clustering
Community structures
Diagnosis strategies
Modularity
Recognition of objects
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