Universal domain adaptive object detection (UniDAOD) is a more challenging and realistic
problem than traditional domain adaptive object detection (DAOD), aiming to transfer the …

Despite deep learning based intelligent diagnosis has become an essential means of
perceiving the health status of rotating machinery, existing diagnostic models struggle to …

Artificial intelligence is extensively utilized across various high-risk domains, and ensuring
the safety, reliability, and trustworthiness of these systems is of paramount importance. This …

In actual production, bearings are usually in a normal working state, which results in a lack
of data for fault diagnosis (FD). Yet, the majority of existing studies on FD of rolling bearings …

The advent of communication technologies marks a transformative phase in critical
infrastructure construction, where the meticulous analysis of failures becomes paramount in …

With the development and application of deep learning technology, intelligent diagnosis has
become an essential means of perceiving the health status of rotating machinery. However …

Simulation data-driven fault diagnosis has attracted extensive research attention by
providing a complete training dataset from a cost-effective dynamic simulation model …