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期刊论文 [33]
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Health condition monitoring of bearings based on multifractal spectrum feature with modified empirical mode decomposition-multifractal detrended fluctuation analysis
期刊论文
STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL, 2022
作者:
Chen, Guangyi
;
Yan, Changfeng
;
Meng, Jiadong
;
Wang, Zonggang
;
Wu, Lixiao
收藏
  |  
浏览/下载:26/0
  |  
提交时间:2022/03/01
Empirical mode decomposition-multifractal detrended fluctuation analysis
scaling exponent
health condition monitoring
step-moving window
multifractal spectrum feature
deterministic
random separation
Influence of Gas Content on Performance Effect on Shunt Vane Type Aviation Fuel Pump
期刊论文
International Journal of Fluid Machinery and Systems, 2022, 卷号: 15, 期号: 1, 页码: 121-129
作者:
Xu, Zixuan
;
Li, Zhenggui
;
Wang, Weijun
;
Wang, Qifan
;
Xu, Yang
收藏
  |  
浏览/下载:26/0
  |  
提交时间:2022/04/21
Fuels
Gases
Liquids
Aviation fuel
Blade pressure
Condition
Gas content
Gas liquids
Gas-liquid two-phase
Gas-phases
Long and short blade
Pressure fluctuation
Two phase
A new fault feature extraction method for rotating machinery based on multiple sensors
期刊论文
Sensors (Switzerland), 2020, 卷号: 20, 期号: 6
作者:
Miao, Feng
;
Zhao, Rongzhen
;
Wang, Xianli
;
Jia, Leilei
收藏
  |  
浏览/下载:2/0
  |  
提交时间:2020/11/14
Condition monitoring
Median filters
Rotating machinery
Signal denoising
Silicate minerals
Aliasing signal
De-noised signals
Fault feature extractions
Hybrid rotor
Improved Joints
Multiple sensors
Vibration signal
Vibration sources
A New Fault Diagnosis Method for Rotating Machinery Based on SCA-FastICA
期刊论文
Mathematical Problems in Engineering, 2020, 卷号: 2020
作者:
Miao, Feng
;
Zhao, Rongzhen
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2020/11/14
Blind source separation
Failure analysis
Independent component analysis
Rotating machinery
Signal denoising
Vibration analysis
Conventional methods
De-noised signals
Fast independent component analysis
Fault diagnosis method
Machine health monitoring
Noise and vibration
Simulation tests
Vibration sources
Optimal swarm decomposition with whale optimization algorithm for weak feature extraction from multicomponent modulation signal
期刊论文
Mechanical Systems and Signal Processing, 2019, 卷号: 122, 页码: 673-691
作者:
Miao, Yonghao
;
Zhao, Ming
;
Makis, Viliam
;
Lin, Jing
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  |  
浏览/下载:19/0
  |  
提交时间:2019/11/19
Bearing fault diagnosis
Compound fault diagnosis
Individual components
Machinery condition monitoring
Meta-heuristic optimizations
Mode decomposition
Numerical validations
Optimization algorithms
Order spectrogram visualization for rolling bearing fault detection under speed variation conditions
期刊论文
Mechanical Systems and Signal Processing, 2019, 卷号: 122, 页码: 580-596
作者:
Wang, Yi
;
Tse, Peter W.
;
Tang, Baoping
;
Qin, Yi
;
Deng, Lei
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  |  
浏览/下载:17/0
  |  
提交时间:2019/11/19
Bearing fault diagnosis
Machinery condition monitoring
Non-stationary vibration signals
Operating condition
Order tracking
Rolling bearing vibration
Spectrograms
Time-frequency distributions
Graph-based change detection for condition monitoring of industrial machinery: an enhanced framework for non-stationary condition signals
期刊论文
MEASUREMENT SCIENCE AND TECHNOLOGY, 2019, 卷号: 30, 期号: 11
作者:
Gao, Zhen
;
Lu, Guoliang
;
Yan, Peng
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  |  
浏览/下载:4/0
  |  
提交时间:2019/12/11
condition monitoring
industrial machines
statistical change detection
graph model
non-stationary signal
Change detection in rotational speed of industrial machinery using Bag-of-Words based feature extraction from vibration signals
期刊论文
MEASUREMENT, 2019, 卷号: 146, 页码: 467-478
作者:
Yang, Shaohua
;
Lu, Guoliang
;
Wang, Aiqun
;
Liu, Jie
;
Yan, Peng
收藏
  |  
浏览/下载:9/0
  |  
提交时间:2019/12/11
Machine condition monitoring
Bag-of-Words
Vibration feature
extraction
Speed change detection
Multi-sensors based condition monitoring of rotary machines: An approach of multidimensional time-series analysis
期刊论文
MEASUREMENT, 2019, 卷号: 134, 页码: 326-335
作者:
Wang, Teng
;
Lu, Guoliang
;
Yan, Peng
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  |  
浏览/下载:2/0
  |  
提交时间:2019/12/11
Machine condition monitoring
Multi-sensor monitoring
Change detection
Rotary machinery
Performance Analysis and Enhancement of Deep Convolutional Neural Network: Application to Gearbox Condition Monitoring
期刊论文
BUSINESS & INFORMATION SYSTEMS ENGINEERING, 2019, 卷号: 61, 页码: 311-326
-
收藏
  |  
浏览/下载:13/0
  |  
提交时间:2020/01/03
Machinery condition monitoring
Deep convolutional neural network
Model structure
Signal representation
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