1. GUO W, PAN T H, LI Z M, et al. Modelling for multi-phase batch processes using steady state identification and deep recurrent neural network [C]//2019 12th Asian Control Conference. Kitakyushu: IEEE, 2019: 1084–1089.
2. TIAN Y, ZOU Q, HAN J. Data-driven fault diagnosis for automotive PEMFC systems based on the steady-state identification [J]. Energies, 2021, 14(7): 1918.
3. LI J Z, GAO M, LÜ Y, et al. Overview on the steady-state detection methods of process operating data [J]. Chinese Journal of Scientific Instrument, 2013, 34(8): 1739–1748 (in Chinese).
4. NARASIMHAN S, MAH R S H, TAMHANE A C, et al. A composite statistical test for detecting changes of steady states [J]. AIChE Journal, 1986, 32(9): 1409–1418.
5. NARASIMHAN S, KAO C S, MAH R S H. Detecting changes of steady states using the mathematical theory of evidence [J]. AIChE Journal, 1987, 33(11): 1930–1932.