Machinery Condition Monitoring And Intelligent Fault Diagnosis

This Special Issue focuses on the development of intelligent fault diagnosis algorithms, fault feature extraction, and intelligent machine monitoring. It includes topics such as prognostics and health management, precision/ultra-precision machining process monitoring, machine vision, early fault detection features, small sample machine learning algorithms, multi-condition transfer learning algorithms, multi-modal data fusion methods, and interpretable deep learning algorithms. Manuscripts can be submitted until the deadline and accepted papers will be published continuously in the journal.