Bearing fault diagnosis with varying conditions using angular domain resampling technology, SDP and DCNN

作者: Yingkui Gu , Lei Zeng , Guangqi Qiu

DOI: 10.1016/J.MEASUREMENT.2020.107616

关键词: Convolutional neural networkResamplingArtificial intelligenceBearing (mechanical)Fault (power engineering)SignalVibrationPearson product-moment correlation coefficientPattern recognitionNoise reductionComputer science

摘要: … under varying conditions by angular domain resampling, … and reconstructing the angular domain vibration signals, and … reconstructing angular-domain vibration signals of the first 6 …

参考文章(39)
Robert B. Randall, Jérôme Antoni, Rolling element bearing diagnostics—A tutorial Mechanical Systems and Signal Processing. ,vol. 25, pp. 485- 520 ,(2011) , 10.1016/J.YMSSP.2010.07.017
Clifford A. Pickover, On the use of symmetrized dot patterns for the visual characterization of speech waveforms and other sampled data. Journal of the Acoustical Society of America. ,vol. 80, pp. 955- 960 ,(1986) , 10.1121/1.393918
Simone Delvecchio, Gianluca D’Elia, Emiliano Mucchi, Giorgio Dalpiaz, Advanced Signal Processing Tools for the Vibratory Surveillance of Assembly Faults in Diesel Engine Cold Tests Journal of Vibration and Acoustics. ,vol. 132, pp. 021008- ,(2010) , 10.1115/1.4000807
Konstantin Dragomiretskiy, Dominique Zosso, Variational Mode Decomposition IEEE Transactions on Signal Processing. ,vol. 62, pp. 531- 544 ,(2014) , 10.1109/TSP.2013.2288675
Jaouher Ben Ali, Nader Fnaiech, Lotfi Saidi, Brigitte Chebel-Morello, Farhat Fnaiech, Application of empirical mode decomposition and artificial neural network for automatic bearing fault diagnosis based on vibration signals Applied Acoustics. ,vol. 89, pp. 16- 27 ,(2015) , 10.1016/J.APACOUST.2014.08.016
K.R. Fyfe, E.D.S. Munck, ANALYSIS OF COMPUTED ORDER TRACKING Mechanical Systems and Signal Processing. ,vol. 11, pp. 187- 205 ,(1997) , 10.1006/MSSP.1996.0056
Jerome Gilles, Empirical Wavelet Transform IEEE Transactions on Signal Processing. ,vol. 61, pp. 3999- 4010 ,(2013) , 10.1109/TSP.2013.2265222
KATSUHIKO SHIBATA, ATSUSHI TAKAHASHI, TAKUYA SHIRAI, FAULT DIAGNOSIS OF ROTATING MACHINERY THROUGH VISUALISATION OF SOUND SIGNALS Mechanical Systems and Signal Processing. ,vol. 14, pp. 229- 241 ,(2000) , 10.1006/MSSP.1999.1255
Zhuanzhe Zhao, Qingsong Xu, Minping Jia, Improved shuffled frog leaping algorithm-based BP neural network and its application in bearing early fault diagnosis Neural Computing and Applications. ,vol. 27, pp. 375- 385 ,(2016) , 10.1007/S00521-015-1850-Y
Xiaogang Xu, Haixiao Liu, Hao Zhu, Songling Wang, Fan fault diagnosis based on symmetrized dot pattern analysis and image matching Journal of Sound and Vibration. ,vol. 374, pp. 297- 311 ,(2016) , 10.1016/J.JSV.2016.03.030