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- Title
Modeling, Control and Diagnosis of Electrical Machines and Devices.
- Authors
Boukhnifer, Moussa; Djilali, Larbi
- Abstract
This document discusses the importance of condition monitoring and fault diagnosis in electrical machines and devices. It highlights the benefits of these practices, such as failure prediction, cost reduction, and prevention of damage and downtime. The document also mentions the use of artificial intelligence and machine learning in fault diagnosis and control. The special issue focuses on topics such as modeling, control strategies, failure detection, fault-tolerant control, condition monitoring techniques, and AI and machine learning techniques. The document provides summaries of 10 scientific research articles published in the special issue, covering various aspects of electrical machine modeling, control, and diagnosis.
- Subjects
SWITCHED reluctance motors; INDUCTION motors; HAMILTON-Jacobi-Bellman equation; MACHINERY; TRACKING algorithms; AIR gap flux; HILBERT-Huang transform; SLIDING mode control; RELUCTANCE motors
- Publication
Energies (19961073), 2024, Vol 17, Issue 10, p2250
- ISSN
1996-1073
- Publication type
Article
- DOI
10.3390/en17102250