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兰州理工大学 [5]
湖南大学 [4]
北京航空航天大学 [3]
山东大学 [3]
沈阳自动化研究所 [3]
西安交通大学 [2]
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期刊论文 [16]
会议论文 [10]
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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:21/0
  |  
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
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  |  
浏览/下载:4/0
  |  
提交时间:2019/12/30
Sparse coding
Fault diagnosis
Feature extraction
Rolling bearings
Title fault diagnosis of transmission network based on fusion of time sequence and hierarchical transitional WFPN
会议论文
Chinese Intelligent Systems Conference, CISC 2018, January 1, 2019 - January 1, 2019
作者:
Zhao, Shasha
;
Lin, Xiaoxiao
;
Meng, Fantao
;
Cheng, Xuezhen
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  |  
浏览/下载:12/0
  |  
提交时间:2019/12/31
Distributed Hierarchical Fault Diagnosis Based on Sparse Auto-Encoder and Random Forest
会议论文
Nanjing, China, August 24-25, 2019
作者:
Li, Tong
;
Song CH(宋纯贺)
;
Liu, Yang
;
Wang ZF(王忠锋)
;
Yu SM(于诗矛)
收藏
  |  
浏览/下载:17/0
  |  
提交时间:2019/12/22
Sparse auto-encoder
Distributed fault diagnosis
Fault classification
Random forest
Distributed Hierarchical Fault Diagnosis Based on Sparse Auto-Encoder and Random Forest
会议论文
Nanjing, China, August 24-25, 2019
作者:
Li T(李桐)
;
Song CH(宋纯贺)
;
Liu Y( 刘扬)
;
Wang ZF(王忠锋)
;
Yu SM(于诗矛)
收藏
  |  
浏览/下载:21/0
  |  
提交时间:2019/12/22
Sparse auto-encoder
Distributed fault diagnosis
Fault classification
Random forest
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
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