A wavelet packet spectral subtraction and convolutional neural network based method for diagnosis of system health
Author:
Publisher
Springer Science and Business Media LLC
Subject
Mechanical Engineering,Mechanics of Materials
Link
http://link.springer.com/content/pdf/10.1007/s12206-019-1111-6.pdf
Reference15 articles.
1. Y. Lie, N. Li, S. Gontarz, J. Lin, S. Radkowski and J. Dybala, A model-based method for remaining useful life prediction of machinery, IEEE Transactions on Reliability, 65 (3) (2016) 1314–1326.
2. Y. Li, W. Zhou and Y. Zi, A graphic pattern feature-mapping-based data-driven condition monitoring method for diesel engine malfunction identification and classification, Journal of Mechanical Engineering Science, 233 (1) (2018) 202–212.
3. T. Emura, S. Matsui and H. Y. Chen, Compound.Cox: Univariate feature selection and compound covariate for predicting survival, Computer Methods and Programs in Biomedicine, 168 (2019) 21–37.
4. K. H. Hui, C. S. Ooi, M. H. Lim, M. S. Leong and S. M. Al-Obaidi, An improved wrapper-based feature selection method for machinery fault diagnosis, PLoS ONE, 12 (12) (2017) 1–10.
5. W. Zhang, G. Peng, C. Li, Y. Chen and Z. Zhang, A new deep learning model for fault diagnosis with good anti-noise and domain adaptation ability on raw vibration signals, Sensors, 17 (2) (2017) 425.
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