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科研机构
兰州理工大学 [18]
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期刊论文 [11]
会议论文 [7]
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2021 [2]
2020 [5]
2015 [1]
2014 [1]
2013 [2]
2012 [2]
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专题:兰州理工大学
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Noise reduction of a safety valve pressure relief signal based on an improved wavelet threshold function
期刊论文
Zhendong yu Chongji/Journal of Vibration and Shock, 2021, 卷号: 40, 期号: 12, 页码: 143-150
作者:
Li, Shuxun
;
Wang, Zhihui
;
Kang, Yunxing
;
Hou, Jianjun
收藏
  |  
浏览/下载:10/0
  |  
提交时间:2022/02/17
Butterworth filters
Exponential functions
Safety valves
Wavelet decomposition
Adaptive wavelet thresholds
Adjustment factors
Attenuation characteristics
Mechanical systems
Noise reduction effect
Noise reduction methods
Simulated signals
Threshold functions
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:4/0
  |  
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
Long-persistent phosphorescence in Eu2+-doped calcium borate chloride for optical data storage
期刊论文
JOURNAL OF ALLOYS AND COMPOUNDS, 2020, 卷号: 825
作者:
Zeng, Wei
;
Wang, Yujia
;
Zheng, Mengqi
;
Yang, Rui
;
Luo, Yu
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2020/05/21
Luminescence
Optical data storage
Lanthanides
Thermoluminescence
Fault Diagnosis of Rotating Machinery Based on Multi-Sensor Signals and Median Filter Second-Order Blind Identification (MF-SOBI)
期刊论文
APPLIED SCIENCES-BASEL, 2020, 卷号: 10, 期号: 11
作者:
Miao, Feng
;
Zhao, Rongzhen
;
Jia, Leilei
;
Wang, Xianli
收藏
  |  
浏览/下载:6/0
  |  
提交时间:2022/03/01
fault diagnosis
vibration signal
rotating machinery
rotor
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
Fast mathematical morphological filtering method and its application on pulse signal processing
期刊论文
Yi Qi Yi Biao Xue Bao/Chinese Journal of Scientific Instrument, 2020, 卷号: 41, 期号: 2, 页码: 253-262
作者:
Chou, Yongxin
;
Zhang, Aihua
;
Gu, Ya
;
Liu, Jicheng
;
Feng, Yufeng
收藏
  |  
浏览/下载:16/0
  |  
提交时间:2020/11/14
Iterative methods
Mathematical morphology
Filtering accuracies
Linear structuring elements
Mathematical morphological filtering
Microprocessor systems
One dimensional signal
Real time requirement
Real-time signal processing
Structuring element
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
Laser signal attenuation due to sand and dust particle scattering
会议论文
Shenzhen, China, November 16, 2014 - November 17, 2014
作者:
Wang, Y.G.
;
Wang, H.Q.
;
Cao, M.H.
收藏
  |  
浏览/下载:9/0
  |  
提交时间:2020/11/15
Dust
Laser beams
Multiple scattering
Sand
Visibility
Atmospheric visibility
Dust particle
Laser intensities
Laser signals
Long distance transmission
Sand and dust particle
Scattering char-acteristics
Single scattering
Separation of nonlinear mixed rotor fault signals with violent pulse interferences
期刊论文
Zhendong Ceshi Yu Zhenduan/Journal of Vibration, Measurement and Diagnosis, 2014, 卷号: 34, 期号: 4, 页码: 625-630
作者:
Miao, Feng
;
Zhao, Rongzhen
收藏
  |  
浏览/下载:85/0
  |  
提交时间:2020/11/14
Machinery
Median filters
Rotors
Signal denoising
Signal interference
Conventional methods
De-noised signals
Fault signal
Machine health monitoring
Pulse interferences
Rotor vibrations
Vibration signal
Vibration sources
Fault Diagnosis of Rolling Bearing Based on S Transform and Image of Invariant Moments
会议论文
作者:
Guo, Junfeng
;
Wang, Baozeng
;
Wei, Peng
;
Wei, Xingchun
收藏
  |  
浏览/下载:12/0
  |  
提交时间:2019/11/15
S Transformation
Hu geometric moment invariant
Fault diagnosis
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