共 7 条
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Application of empirical mode decomposition and artificial neural network for automatic bearing fault diagnosis based on vibration signals.[J].Jaouher Ben Ali;Nader Fnaiech;Lotfi Saidi;Brigitte Chebel-Morello;Farhat Fnaiech.Applied Acoustics.2015,
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Study on Hankel matrix-based SVD and its application in rolling element bearing fault diagnosis.[J].Huiming Jiang;Jin Chen;Guangming Dong;Tao Liu;Gang Chen.Mechanical Systems and Signal Processing.2015,
[3]
A rolling bearing fault diagnosis approach based on LCD and fuzzy entropy.[J].Jinde Zheng;Junsheng Cheng;Yu Yang.Mechanism and Machine Theory.2013,
[4]
A rotating machinery fault diagnosis method based on local mean decomposition.[J].Junsheng Cheng;Yi Yang;Yu Yang.Digital Signal Processing.2011, 2
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LIBSVM.[J].Chih-Chung Chang;Chih-Jen Lin.ACM Transactions on Intelligent Systems and Technology (TIST).2011, 3
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A roller bearing fault diagnosis method based on EMD energy entropy and ANN.[J].Yang Yu;YuDejie;Cheng Junsheng.Journal of Sound and Vibration.2005, 1
[7]

