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Pyramid LSTM Network for Tool Condition Monitoring
期刊论文
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2022, 卷号: 71
作者:
Guo, Hao
;
Lin, Xin
;
Zhu, Kunpeng
收藏
  |  
浏览/下载:6/0
  |  
提交时间:2022/12/23
Feature extraction
Monitoring
Milling
Computational modeling
Hidden Markov models
Employee welfare
Task analysis
Auto-encoder
network structure
pyramid long short-term memory (LSTM)
tool wear monitoring
visual analysis
A novel detection method applied on low-frequency harmonics of Tokamak power supply
期刊论文
ENERGY REPORTS, 2021, 卷号: 7
作者:
Tian, Yunxiang
;
Huang, Yiyun
;
Li, Jun
;
Yang, Shenfei
;
Mao, Huafeng
收藏
  |  
浏览/下载:22/0
  |  
提交时间:2022/01/10
Harmonic detection
CBP-FIR filter
ICBP-FIR filter
Low-frequency harmonics
Tokamak power supply
A Novel Rolling Bearing Vibration Impulsive Signals Detection Approach Based on Dictionary Learning
期刊论文
IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 8, 期号: 6, 页码: 1188-1198
作者:
Chuan Sun
;
Hongpeng Yin
;
Yanxia Li
;
Yi Chai
收藏
  |  
浏览/下载:47/0
  |  
提交时间:2021/06/11
Dictionary learning
impulsive signals detection
K-clustering with singular value decomposition (K-SVD)
minimum entropy deconvolution
rolling bearing
signal processing
Method of fault identification based on fusion of CEEMD_MPE and GK fuzzy clustering
期刊论文
Zhendong Gongcheng Xuebao/Journal of Vibration Engineering, 2020, 卷号: 33, 期号: 3, 页码: 629-635
作者:
Zhao, Rong-Zhen
;
Sun, Ze-Jin
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  |  
浏览/下载:3/0
  |  
提交时间:2020/11/14
Entropy
Fuzzy clustering
Signal processing
Correlation coefficient
Dimension reduction
Empirical Mode Decomposition
Ensemble empirical mode decomposition
Fault feature extractions
Fault identifications
Mode combination method
Non stationary characteristics
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
A real-time, high-accuracy, hardware-based integrated parameter estimator for deep space navigation and planetary radio science experiments
期刊论文
MEASUREMENT SCIENCE AND TECHNOLOGY, 2019, 卷号: 30, 期号: 1, 页码: 015007
作者:
Zhou, Chenye
;
Wang, Zhen
;
Li, Wenxiao
;
Wang, Mingyuan
;
Yu, Quantao
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  |  
浏览/下载:95/0
  |  
提交时间:2019/03/04
planetary radio science
non-stationary signal processing
narrowband signal parameter estimation
FPGA
Recovery of non-stationary free field with double-layer pressure measurements
期刊论文
Mechanical Systems and Signal Processing, 2019, 卷号: Vol.121, 页码: 455-470
作者:
Xiao-Zheng Zhang
;
Lin Geng
;
Chuan-Xing Bi
收藏
  |  
浏览/下载:9/0
  |  
提交时间:2019/04/24
Non-stationary
sound
field
separation
Free-field
recovery
Double-layer
pressure
measurements
A multistep time-domain plane wave superposition method for stabilizing the reconstruction of the non-stationary sound field
期刊论文
Mechanical Systems and Signal Processing, 2019, 卷号: Vol.121, 页码: 913-928
作者:
Xiao-Zheng Zhang
;
Lin Geng
;
Shao-Cheng Zhu
;
Jun Ma
收藏
  |  
浏览/下载:2/0
  |  
提交时间:2019/04/24
A
multistep
time
domain
plane
wave
superposition
method
Non-stationary
sound
field
Multistep
calculation
Numerical
instability
Data-driven time-frequency analysis method based on variational mode decomposition and its application to gear fault diagnosis in variable working conditions.
期刊论文
Mechanical Systems & Signal Processing, 2019, 卷号: Vol.116, 页码: 462-479
作者:
Li, Fuhao
;
Li, Rong
;
Tian, Lili
;
Chen, Lin
;
Liu, Jian
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2019/12/13
Data driven
Gear fault diagnosis
Time-frequency analysis
Time-varying non-stationary signal
Variable working conditions
Variational mode decomposition (VMD)
Data-driven time-frequency analysis method based on variational mode decomposition and its application to gear fault diagnosis in variable working conditions
期刊论文
MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2019, 卷号: Vol.116, 页码: 462-479
作者:
Li, Fuhao
;
Li, Rong
;
Tian, Lili
;
Chen, Lin
;
Liu, Jian
收藏
  |  
浏览/下载:7/0
  |  
提交时间:2019/12/13
Variational mode decomposition (VMD)
Data driven
Time-frequency analysis
Time-varying non-stationary signal
Variable working conditions
Gear fault diagnosis
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