Reliability and Fault Tolerant Control of Electric Machines
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Electrical, Electronics and Communications Engineering".
Deadline for manuscript submissions: 20 June 2026 | Viewed by 18
Special Issue Editors
Interests: diagnostics and condition monitoring of electric machines; signal processing and design and control of power electronics for wind power applications
Special Issues, Collections and Topics in MDPI journals
Interests: power electronics converters; drives and control for distributed generation and energy storage (battery, supercapacitor, flywheel); electrification of transport (electric vehicles, more electric aircraft); power quality (active filtering); interfacing renewable energy sources to the grid
Special Issue Information
Dear Colleagues,
Electric machines play a critical role in modern energy conversion systems, powering applications ranging from industrial automation and electric vehicles to renewable energy generation. As these systems become increasingly complex and integrated, ensuring their reliability and fault tolerance has become a key research and engineering challenge. This Special Issue aims to present the latest advances, methodologies, and applications that enhance system dependability under faulty operating conditions. Topics of interest include fault detection and diagnosis, fault-tolerant control strategies, condition monitoring, and predictive maintenance using advanced sensing, signal processing, and machine learning techniques. Contributions addressing modeling and simulation of electrical faults, hardware-in-the-loop testing, and resilience-oriented design are also encouraged. This Special Issue seeks to bridge the gap between theory and industrial implementation, promoting safer, smarter, and more sustainable electric drive systems. Researchers and practitioners are invited to submit original research papers and review articles that contribute to improving the reliability and robustness of electric machines and their associated control systems.
In this Special Issue, original research articles and reviews are welcome. Research areas may include (but are not limited to) the following:
- Fault detection and diagnosis for three-phase and multi-phase electrical machines.
- Fault-tolerant control strategies for three-phase and multi-phase electrical machines.
- Condition monitoring and predictive maintenance for three-phase and multi-phase electrical machines.
- Use of advanced sensing, signal processing, and machine learning techniques for fault detection in three-phase and multi-phase electrical machines.
- Modeling and simulation of electrical faults for three-phase and multi-phase electrical machines.
- Hardware-in-the-loop (HIL) testing for the diagnosis of three-phase and multi-phase electrical machines.
- Resilience-oriented system design for three-phase and multi-phase electrical machines.
Dr. Francisco Vedreño-Santos
Dr. Savvas Papadopoulos
Guest Editors
Manuscript Submission Information
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Keywords
- reliability
- fault-tolerant control
- electrical machines
- condition monitoring
- fault detection and diagnosis
- predictive maintenance
- electric drives
- signal processing
- modeling and simulation
- industrial applications
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