Author:
Zhao Qi,Han Te,Jiang Dongxiang,Yin Kai
Publisher
Springer Science and Business Media LLC
Reference19 articles.
1. Gangadhar N, Kiran Vernekar, Hemantha Kumar et al (2017) Fault diagnosis of single point cutting tool through discrete wavelet features of vibration signals using decision tree technique and multilayer perceptron. J Vib Eng Technol 5(1):35–44
2. Han T, Jiang D, Sun Y, Wang N, Yang Y (2018) Intelligent fault diagnosis method for rotating machinery via dictionary learning and sparse representation-based classification. Measurement 118:181–193
3. Tang HF, Chen J, Dong GM (2015) Dynamic linear models-based time series decomposition and its application on bearing fault diagnosis. J Vib Control 21:975–988
4. Paliwal D, Choudhury A, Govardhan T (2017) Detection of bearing defects from noisy vibration signals using a coupled method of wavelet analysis followed by FFT analysis. J Vib Eng Technol 5(1):21–34
5. Huang NE, Shen Z, Long SR et al (1998) The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis. Proc Royal Soc 454:903–995
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