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科研机构
兰州理工大学 [5]
自动化研究所 [2]
沈阳自动化研究所 [2]
深海科学与工程研究所 [1]
合肥物质科学研究院 [1]
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期刊论文 [10]
会议论文 [1]
发表日期
2021 [11]
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Bi-TLLDA and CSSVM based fault diagnosis of vehicle on-board equipment for high speed railway
期刊论文
MEASUREMENT SCIENCE AND TECHNOLOGY, 2021, 卷号: 32, 期号: 8
作者:
Wei, Wei
;
Zhao, Xiao-qiang
收藏
  |  
浏览/下载:5/0
  |  
提交时间:2021/10/14
fault diagnosis
vehicle on-board equipment
topic model
text classification
A new fault feature extraction method of rotating machinery based on finite sample function
期刊论文
Noise and Vibration Worldwide, 2021, 卷号: 52, 期号: 6, 页码: 137-144
作者:
Miao, Feng
;
Zhao, Rongzhen
收藏
  |  
浏览/下载:6/0
  |  
提交时间:2021/06/03
Extraction
Feature extraction
Rotating machinery
Sampling
Composite fault
Fault feature extractions
Higher efficiency
Kernel function
Rub impact fault
Separation performance
Super-Gaussian sources
Vibration signal
Rotor fault diagnosis based on semi-supervised neighborhood adaptive orthogonal discriminant projection
期刊论文
Zhendong yu Chongji/Journal of Vibration and Shock, 2021, 卷号: 40, 期号: 10, 页码: 159-165
作者:
Chang, Shuyuan
;
Zhao, Rongzhen
;
Shi, Mingkuan
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  |  
浏览/下载:6/0
  |  
提交时间:2022/02/17
Failure analysis
Frequency domain analysis
Pattern recognition
Support vector machines
Time domain analysis
Fault identifications
Frequency domains
Generalization ability
Low dimensional
Neighborhood parameter
Rotor fault diagnosis
Time frequency domain
Vibration signal
Multi-feature fusion for fault diagnosis of rotating machinery based on convolutional neural network
期刊论文
COMPUTER COMMUNICATIONS, 2021, 卷号: 173
作者:
Liu, Shaoqing
;
Ji, Zhenshan
;
Wang, Yong
;
Zhang, Zuchao
;
Xu, Zhanghou
收藏
  |  
浏览/下载:43/0
  |  
提交时间:2021/06/15
Fault diagnosis
Feature fusion
Multi-feature
Convolutional Neural Network (CNN)
Light Gradient Boosting Machine (LightGBM)
Fault Monitoring Method of Wind Turbine Main Bearing
期刊论文
Zhendong Ceshi Yu Zhenduan/Journal of Vibration, Measurement and Diagnosis, 2021, 卷号: 41, 期号: 2, 页码: 341-347 and 415
作者:
Zheng, Yuqiao
;
Wei, Jianfeng
;
Zhu, Kai
;
Dong, Bo
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  |  
浏览/下载:7/0
  |  
提交时间:2022/02/17
Bearings (machine parts)
Forecasting
Linear regression
Monitoring
Sliding mode control
Statistics
Support vector machines
Support vector regression
Wind turbines
Change of temperatures
Combination forecasting models
Determination coefficients
Mean and standard deviations
Multiple linear regression models
Multivariate linear regression model
Sliding window methods
Support vector machine regressions
Evolving Container to Unikernel for Edge Computing and Applications in Process Industry
期刊论文
PROCESSES, 2021, 卷号: 9, 期号: 2, 页码: 18
作者:
Chen, Shichao
;
Zhou, Mengchu
收藏
  |  
浏览/下载:52/0
  |  
提交时间:2021/03/29
big data analytics
lightweight virtualization
cloud computing
edge computing
industrial process
Industry 4.0
Internet of things
machine learning
process industry
fault diagnosis
A Bayesian Compressive Sensing-Based Planar Array Diagnosis Approach From Near-Field Measurements
期刊论文
IEEE ANTENNAS AND WIRELESS PROPAGATION LETTERS, 2021, 卷号: 20, 期号: 2, 页码: 249-253
作者:
Lin, Zhenwei
;
Chen, Yaowu
;
Liu, Xuesong
;
Jiang, Rongxin
;
Shen, Binjian
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  |  
浏览/下载:17/0
  |  
提交时间:2021/03/30
Arrays
Antenna measurements
Signal to noise ratio
Planar arrays
Bayes methods
Position measurement
Compressed sensing
Array signal processing
Bayesian compressive sensing (BCS)
fault diagnosis
near-field measurement
A Regularized LSTM Method for Predicting Remaining Useful Life of Rolling Bearings
期刊论文
International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 4, 页码: 581-593
作者:
Zhao-Hua Liu
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  |  
浏览/下载:15/0
  |  
提交时间:2021/07/20
Deep learning
fault diagnosis
fault prognosis
long and short time memory network (LSTM)
rolling bearing
rotating machinery
regularization
remaining useful life prediction (RUL)
recurrent neural network (RNN)
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:11/0
  |  
提交时间:2021/02/14
hierarchical fault diagnosis
energy spectrum matrix
dynamic adjustment of the learning rate
convolutional neural network
rotating machinery
Dynamic modeling of rotor-bearing-housing system with local defect on ball bearing using mass distribution and energy methods
期刊论文
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART K-JOURNAL OF MULTI-BODY DYNAMICS, 2021, 卷号: 235, 期号: 3, 页码: 412-426
作者:
Liu, Yaofeng
;
Yan, Changfeng
;
Wang, Kai
;
Gao, Xianghong
;
Zhang, Xin
收藏
  |  
浏览/下载:7/0
  |  
提交时间:2021/06/03
Dynamic model
rotor-bearing-housing system
local defect
energy method
distribution of rotor mass
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