[3] Wang L, Liu Z, Miao Q, et al. Time-frequency analysis based on ensemble local mean decomposition and fast Kurtogram for rotating machinery fault diagnosis [J]. Mechanical Systems and Signal Processing, 2018, 103: 60-75.
[6] Xie D, Li B. A hierarchical deep neural network for fault diagnosis on Tennessee-Eastman process [C]. IEEE International Conference on Machine Learning and Applications, 2016.
[10] Zuo W, Zhang L, Song C, et al. Gradient histogram estimation and preservation for texture enhanced image denoising [J]. IEEE Transactions on Image Processing, 2014, 23(6): 2459-2472.
[11] Sun Kai, Gao Jianmin, Gao Zhiyong, et al. Plant-wide quantitative assessment of a process industry system’s operating state based on color-spectrum [J]. Mechanical Systems and Signal Processing, 2015, 60-61: 644-655.
[13] Liu Z, Geng X, Xie Z, et al. The multi-core parallel algorithms of wavelet/wavelet packet transforms and their applications in power system harmonic analysis and data compression [J]. International Transactions on Electrical Energy Systems, 2015, 25(11): 2800-2818.
[14] Budinich R. A region-based easy-path wavelet transform for sparse image representation [J]. International Journal of Wavelets Multiresolution and Information Processing, 2017, 15(5): 1750045.
[16] Minghan Y, Jianye W, Shuai C, et al. Development of NPP digital I & C system closed-loop online test system based on signal transmission array [J]. Progress in Nuclear Energy, 2018, 108: 270-280.