An Overview of Fuzzy Logic Approaches for Fault Diagnosis in Energy Conversion Devices
2021 28th International Workshop on Electric Drives: Improving Reliability of Electric Drives (IWED 2021) 2021
Galina Demidova, Anton Rassolkin, Toomas Vaimann, Ants Kallaste, Jānis Zaķis, Aleksandrs Suzdaļenko

Any energy conversion devices, such as industrial motor-drives, propulsion drives of electric vehicles, pump systems, wind turbines, and others, are prone to failures. Usually, failures result in increased economic costs that come through additional energy losses, loss of production, or in a worst-case even environmental hazard. To prevent failures, energy conversion systems may be checked through particular routines developed and specified by the manufactures. However, it may be challenging due to the complex construction of energy conversion devices or devices' failure between the routine checks. Such schedule-based condition monitoring approaches provide minor information on the remaining lifetime (separate components and whole system) of the devices and do not allow proper prognostic or full exploitation. To overcome traditional two-level Boolean approaches with healthy/faulty states an Artificial Intelligence (AI)-based control techniques are used. The Fuzzy Logic approach is based on inspired by human perception processes and cognition that are often uncertain or empirical. However, Fuzzy Logic is already successfully applied in various control applications of energy conversion devices, even when the analytical models are unknown. This paper argues for developing new fault detection algorithms based on fuzzy logic methods to allow energy conversion systems designers to develop reliability factors for apparatus, which included electrical machines and power electronics subsystems.


Keywords
Fuzzy logic, Condition monitoring, Digital twin, Energy conversion, Propulsion, Reliability engineering, Wind turbines, fuzzy logic, fault-tolerant control, fault diagnosis, fault detection
DOI
10.1109/IWED52055.2021.9376389
Hyperlink
https://ieeexplore.ieee.org/document/9376389

Demidova, G., Rassolkin, A., Vaimann, T., Kallaste, A., Zaķis, J., Suzdaļenko, A. An Overview of Fuzzy Logic Approaches for Fault Diagnosis in Energy Conversion Devices. In: 2021 28th International Workshop on Electric Drives: Improving Reliability of Electric Drives (IWED 2021), Russia, Moscow, 27-29 January, 2021. Piscataway: IEEE, 2021, pp.16-22. ISBN 978-0-7381-4443-6. e-ISBN 978-1-6654-1456-2. Available from: doi:10.1109/IWED52055.2021.9376389

Publication language
English (en)
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