1. Deep convolutional neural network based regression approach for estimation of remaining useful life;Babu,2016
2. Remaining useful life estimation based on nonlinear feature reduction and support vector regression;Benkedjouh;Engineering Applications of Artificial Intelligence,2013
3. Statistics for high dimensional data. Methods, theory and applications;Bühlmann,2011
4. A segmental hidden semi-Markov model (HSMM)-based diagnostics and prognostics framework and methodology;Dong;Mechanical Systems and Signal Processing,2007
5. Computational intelligence. An introduction;Engelbrecht,2007