Monitoring and Fault Diagnostics of Electrical Machines

Dear Colleagues,

With the popularization of electrification and automation technology, the application of electric machines has expanded from conventional industrial driving to wind power generation, ship power, electrified transportation, aerospace, defense and military, and other fields, where high reliability are key requirements for the safety of electrical machines. Condition monitoring and fault diagnostics, which can realize scheduling preventive maintenance and fault-tolerant operations, are essential to improve the reliability of electrical-machine-based electric drives. Extensive methods have been proposed from model, signal, and data perspectives to monitor and diagnose drive systems. However, current techniques still suffer from time-varying factors and complex operation conditions. Following this Special Issue, innovations in monitoring and fault diagnostics are crucial to further enhance the reliability of machine drives.

This Special Issue aims to provide a platform for researchers from both academic and industrial fields to report their recent results and overlook emerging research directions in the monitoring and fault diagnostics of electrical machines.

Topics of interest include, but not limited to the following:

• High-reliability machine design concepts and methods;
• Emerging monitoring and diagnosis technology;
• Fault mechanism and characterization;
• Reliable fault identification methods;
• Fault prediction and health management technology;
• New detection techniques based on physical phenomena;
• Reliability evaluation and analysis;
• Fault severity evaluation;
• Artificial intelligence in monitoring and diagnosis;
• Multi-source information technology.

Prof. Dr. Wei Hua
Dr. Jun Hang
Dr. Wentao Huang
Guest Editors

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