[6] [6] DALAL M, MA J, HE D. Lithium-ion battery life prognostic health management system using particle filtering framework［J］. Journal of Risk and Reliability, 2011, 225(1): 81-90.

[8] [8] CARNEY J, CUNNINGHAM P, BHAGWAN U. Confidence and prediction intervals for neural network ensembles［C］//IJCNN99, International Joint Conference on Neural Networks, Washington DC, 1999: 1215-1218.

[9] [9] NIX D, WEIGEND A. Estimating the mean and the variance of the target probability distribution［C］//Neural Networks, IEEE World Congress on Computational Intelligence, Orlando, 1994: 55-60.

[10] [10] ZOUBIR A M, BOASHASH B. The bootstrap and its application in signal processing［J］. IEEE Signal Processing Magazine, 1998, 15(1): 56-76.

[11] [11] BARALDI P, COMPARE M, SAUCO S, et al. Ensemble neural network-based particle filtering for prognostics［J］. Mechanical System and Signal Processing, 2013, 41(1): 288-300.

[12] [12] ZHOU Z H. WU J X. TANG W. Ensembling neural networks: many could be better than all［J］. Artificial Intelligence, 2002, 137(2): 239-263.

[13] [13] DAWN A, CHIO J H, KIM N H. Prognostics 101: a tutorial for particle filter-based prognostics algorithm using Matlab［J］. Reliability Engineering and System Safety, 2013, 115: 161-169.