Yi Qin

Prior distribution-guided disentanglement autoencoder for abnormal detection under variable operating conditions

This paper proposes an anomaly detection method based on disentanglement learning to address the challenge of operating condition (OC) interference in the health monitoring of a machine. The method first utilizes ternary mutual information theory to analyze and deconstruct the co...