Recent Advances in Fault Diagnosis and Fault Tolerant Operation in Power Converters Using Symmetry and Asymmetry Concepts
A special issue of Symmetry (ISSN 2073-8994). This special issue belongs to the section "Computer".
Deadline for manuscript submissions: closed (30 November 2022) | Viewed by 487
Special Issue Editor
Interests: fault diagnosis and design of linear and switch mode power supplies, with emphasis on the consequences of aging of electrolytic and film capacitors, as well as the development of solutions to this problem
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Special Issue Information
Dear Colleagues,
The performance of power converters, especially in terms of efficiency, power density, and reliability, has been continuously improved in recent years. The reliability constraints of these electronic systems have become stricter due to the demanding safety requirements that many applications impose.
In the last two decades, many efforts have been made to develop fault diagnosis techniques for power converters, as well as solutions that ensure fault-tolerant operation for these systems. In some critical applications, the reliability of these systems does not depend exclusively on fault detection and isolation. In such cases, the system must have some degree of redundancy or, alternatively, modify the control strategy to make it fault-tolerant and thus guarantee operational safety.
The design and analysis of different real systems in engineering can be simplified using the concept of symmetries and asymmetries. Two good examples of the application of these concepts are the development of fault diagnosis techniques that use electrical signal symmetry studies using signal processing methods such as FFT, DFT, STFT, and WT, among others; and the conception of control strategies and/or new topologies that make the system fault-tolerant.
Topics of interest for publication include but are not limited to:
- Power converters;
- Power converters common electrical faults;
- Offline fault diagnosis;
- Online fault diagnosis;
- Fault-tolerant operation;
- Artificial intelligence techniques.
Prof. Dr. Acácio M. R. Amaral
Guest Editor
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