Development of Intelligent Fault-Tolerant Control Systems with Machine Learning, Deep Learning, and Transfer Learning Algorithms: A Review

Aviation fuel pump health state assessment based on evidential reasoning and random forests

“…For example, Sun et al [15] considered the effect of different noises on the model and verified the feasibility of improving the neural network for noise tolerance. Arslan et al [16,17] improved the stability of fault-tolerant control (FTC) system by applying algorithms such as machine learning and deep learning for fault diagnosis of intelligent FTC applied to industrial problems and analyzing faults in sensors. Alsuwian et al [18] elaborated on Anti-Surge Control (ASC) and FTC systems for compressors from the integration point of view to improve the system component failure reliability in case of system component failure.…”