Yanrui Jin

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

Data-driven machinery fault diagnosis: A comprehensive review

DTCNNMI: A deep twin convolutional neural networks with multi-domain inputs for strongly noisy diesel engine misfire detection

Actual bearing compound fault diagnosis based on active learning and decoupling attentional residual network