Fault self-healing: A biological immune heuristic reinforcement learning method with root cause reasoning in industrial manufacturing process

Jiayi Tian, Ming Yin, Jijiao Jiang

Abstract: Highlights•TCN-VAE enables feature reconstruction and latent variable exploration for root cause reasoning.•Multi-head attention enhances generality and accuracy in root cause reasoning.•Effector T-cell immune-inspired RL adapts to eliminate faults effectively.•The fault self-healing model exhibits strong reliability and robustness.•Method validated on Tennessee Eastman and continuous stirred-tank reactor datasets.