Deep Learning-Based Machinery Fault Diagnostics With Domain Adaptation Across Sensors at Different Places

In the recent years, data-driven machinery fault diagnostic methods have been successfully developed, and the tasks where the training and testing data are from the same distribution have been well addressed. However, due to sensor malfunctions, the training and testing data can be collected at diff... View More