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科研机构
兰州理工大学 [5]
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会议论文 [5]
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内容类型:会议论文
专题:兰州理工大学
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Research on fault diagnosis of indicator diagram based on BP neural network optimized by iterative learning control
会议论文
作者:
Hao, Xiaohong
;
Zhang, Ning
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浏览/下载:0/0
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提交时间:2019/11/15
pumping unit
fault diagnosis
indicator diagram
Shape invariant moment
Fourier descriptor
Iterative learning control
BP neural network
Application of independent component analysis in machine fault diagnosis
会议论文
Hong Kong, China, April 26, 2014 - April 27, 2014
作者:
Miao, Feng
;
Zhao, Rong Zhen
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提交时间:2020/11/15
Algorithms
Blind source separation
Electronics engineering
Failure analysis
Feature extraction
Iterative methods
Fixed-point algorithms
Fixed-point iterations
Independent component analysis(ICA)
Machine fault diagnosis
Neural network learning
Noise elimination
Redundancy reductions
User-defined parameters
Wavelet algorithm in rotating machinery fault feature extraction
会议论文
Wuhan, Hubei, China, October 27, 2013 - October 28, 2013
作者:
Luo, Dongsong
;
Fan, Zheng
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浏览/下载:11/0
  |  
提交时间:2020/11/15
Algorithms
Bearings (structural)
Demodulation
Feature extraction
Frequency bands
Industrial engineering
Optical variables measurement
Wavelet transforms
Different frequency
Frequency resolutions
Hilbert
Industrial production
Production industries
Spectral characteristics
Vibration acceleration
Wavelet algorithms
Wavelet algorithm in Rotating Machinery Fault Feature Extraction
会议论文
作者:
Luo Dongsong
;
Fan Zheng
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浏览/下载:1/0
  |  
提交时间:2019/11/15
Rotating Machinery
bearings
Wavelet algorithm
Hilbert demodulation
RETRACTED ARTICLE: Research of detection of a crack on pressure vessel based on both of acoustic emission diagnosis and ultrasonic testing
会议论文
Inner Mongolia, China, July 15, 2011 - July 17, 2011
作者:
Tong, Changhong
;
Wang, Wenchao
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浏览/下载:1/0
  |  
提交时间:2020/11/15
Correlation detectors
Cracks
Data handling
Instrument testing
Pressure vessels
Ultrasonic testing
Welding
Correlation analysis
Correlation function
Data processing models
Detection signal
Diagnosis technology
Examination methods
Large scale equipments
Sound sensors
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