Yi Zou

Digital twin-inspired methods for rotating machinery intelligent fault diagnosis and remaining useful life prediction: A state-of-the-art review and future challenges

A novel reliable parametric model for predicting the nonlinear hysteresis phenomenon of composite magnetorheological fluid

Transfer learning method for bearing fault diagnosis based on fully convolutional conditional Wasserstein adversarial Networks

Sensor deployment and target localization in distributed sensor networks