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湖南大学 [7]
北京航空航天大学 [6]
武汉大学 [6]
力学研究所 [4]
兰州理工大学 [4]
中国石油大学(北京) [3]
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期刊论文 [34]
会议论文 [9]
发表日期
2019 [43]
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Fault feature extraction of rotating machinery based on EWT and a weighted multi neighborhood rough set
期刊论文
Zhendong yu Chongji/Journal of Vibration and Shock, 2019, 卷号: 38, 期号: 24, 页码: 235-242
作者:
Wu, Yaochun
;
Zhao, Rongzhen
;
Jin, Wuyin
收藏
  |  
浏览/下载:12/0
  |  
提交时间:2020/11/14
Classification (of information)
Extraction
Iterative methods
Probability
Rotating machinery
Rough set theory
Time domain analysis
Wavelet transforms
Characteristics of vibrations
Empirical wavelet transform(EWT)
Fault feature extractions
Feature selection methods
Multiple neighborhoods
Neighborhood rough sets
Probability of occurrence
Time domain characteristics
An Ensemble Convolutional Neural Networks for Bearing Fault Diagnosis Using Multi-Sensor Data
期刊论文
Sensors, 2019, 卷号: 19, 期号: 23, 页码: 5300
作者:
Yang Liu(刘洋)
;
Xunshi Yan
;
Zhang CA(张陈安)
;
Wen Liu (刘文)
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  |  
浏览/下载:95/0
  |  
提交时间:2020/01/02
Rotating Machinery
Fault Diagnosis
Multi-sensor Fusion
Convolutional Neural Network
Ensemble Model
Clustering analysis of rotating machine fault data based on improved fuzzy C-means algorithm with integrated multi-strategy
期刊论文
Zhendong Gongcheng Xuebao/Journal of Vibration Engineering, 2019, 卷号: 32, 期号: 5, 页码: 918-926
作者:
Deng, Lin-Feng
;
Zhang, Ai-Hua
;
Zhao, Rong-Zhen
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  |  
浏览/下载:17/0
  |  
提交时间:2020/11/14
Cluster analysis
Copying
Equivalence classes
Failure analysis
Fuzzy clustering
Fuzzy systems
Rotating machinery
Clustering analysis
Clustering of faults
Clustering performance
Equivalence relations
Fuzzy C mean
High-dimensional feature space
Improved fuzzy c-means
Initial clustering centers
Fault diagnosis of rotating machinery equipped with multiple sensors using space-time fragments
期刊论文
JOURNAL OF SOUND AND VIBRATION, 2019, 卷号: 456, 页码: 49-64
作者:
Yan XS
;
Sun Z
;
Zhao JJ
;
Shi ZG
;
Zhang CA(张陈安)
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  |  
浏览/下载:82/0
  |  
提交时间:2019/07/11
Rotating machinery
Fault diagnosis
Multi-sensor fusion
Active magnetic bearing
Shaft orbit
The influence of spiral angle on lift-off speed of face gas seal under start-up
期刊论文
SN Applied Sciences, 2019, 卷号: 1, 期号: 9
作者:
Lu, Junjie
;
Ding, Xuexing
;
Zhang, Wei
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  |  
浏览/下载:4/0
  |  
提交时间:2022/02/17
Gases
Rotating machinery
Speed
Experimental test
Gas film thickness
Hydrodynamic lubrication
Mixed lubrication
Rotational speed
Slip-flow effects
Start-up process
Theoretical modeling
Investigation on the power loss and radial force characteristics of pump as turbine under gas-liquid two-phase condition
期刊论文
ADVANCES IN MECHANICAL ENGINEERING, 2019, 卷号: 11, 期号: 4
作者:
Shi Fengxia
;
Yang Junhu
;
Miao Senchun
;
Wang Xiaohui
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浏览/下载:0/0
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提交时间:2019/11/15
Pump as turbine
velocity distribution
power loss
radial force
numerical calculation
Detection of rub-impact fault for rotor-stator systems: A novel method based on adaptive chirp mode decomposition
期刊论文
Journal of Sound and Vibration, 2019, 卷号: 440, 页码: 83-99
作者:
Chen, Shiqian
;
Yang, Yang
;
Peng, Zhike
;
Wang, Shibin
;
Zhang, Wenming
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  |  
浏览/下载:36/0
  |  
提交时间:2019/11/19
Empirical mode decomposition (EMD)
Fault diagnosis
Intra-wave modulation
Rotating machinery
Rub-impact
Time-frequency (TF)
An adaptive method based on fractional empirical wavelet transform and its application in rotating machinery fault diagnosis
期刊论文
MEASUREMENT SCIENCE AND TECHNOLOGY, 2019, 卷号: 30
作者:
Zhang, Yang
;
Du, Xiaowei
;
Wen, Guangrui
;
Huang, Xin
;
Zhang, Zhifen
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  |  
浏览/下载:19/0
  |  
提交时间:2019/11/19
rotor
fractional Fourier transform
feature extraction
startup
weak fault
empirical wavelet transform
A Novel Deep Learning Method for Intelligent Fault Diagnosis of Rotating Machinery Based on Improved CNN-SVM and Multichannel Data Fusion.
期刊论文
Sensors (Basel, Switzerland), 2019, 卷号: 19, 期号: 7
作者:
Gong, Wenfeng
;
Chen, Hui*
;
Zhang, Zehui
;
Zhang, Meiling*
;
Wang, Ruihan
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  |  
浏览/下载:25/0
  |  
提交时间:2019/12/04
convolutional neural network
data fusion
deep learning
global average pooling
intelligent fault diagnosis
multichannel
rotating machinery
support vector machine
A novel multi-segment feature fusion based fault classification approach for rotating machinery
期刊论文
MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2019, 卷号: 122, 页码: 19-41
作者:
Liang, Jiejunyi
;
Zhang, Ying
;
Zhong, Jian-Hua*
;
Yang, Haitao
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  |  
浏览/下载:8/0
  |  
提交时间:2019/12/04
Signal segmentation
Empirical mode decomposition
Mathematical morphology
Deep belief networks
Pairwise coupling
Patter recognition
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