Zobrazeno 1 - 10
of 85
pro vyhledávání: '"Marcin Wolkiewicz"'
Publikováno v:
Energies, Vol 17, Iss 2, p 387 (2024)
Induction motors (IMs) are one of the most widely used motor types in the industry due to their low cost, high reliability, and efficiency. Nevertheless, like other types of AC motors, they are prone to various faults. In this article, a low-cost emb
Externí odkaz:
https://doaj.org/article/216621a9dd894a3bb76f2b1122ae85eb
Autor:
Teresa Orlowska-Kowalska, Marcin Wolkiewicz, Przemyslaw Pietrzak, Maciej Skowron, Pawel Ewert, Grzegorz Tarchala, Mateusz Krzysztofiak, Czeslaw T. Kowalski
Publikováno v:
IEEE Access, Vol 10, Pp 59979-60024 (2022)
The issues of monitoring and fault diagnosis of drives with permanent magnet synchronous motors (PMSMs) are currently very relevant because of the increasing use of these drives in safety-critical devices. Every year, more and more articles are publi
Externí odkaz:
https://doaj.org/article/24e51f53de06451588bfa9d6bfab33c5
Autor:
Przemysław Pietrzak, Marcin Wolkiewicz
Publikováno v:
Bulletin of the Polish Academy of Sciences: Technical Sciences, Vol 70, Iss 2 (2022)
The popularity of high-efficiency permanent magnet synchronous motors in drive systems has continued to grow in recent years. Therefore, also the detection of their faults is becoming a very important issue. The most common fault of this type of moto
Externí odkaz:
https://doaj.org/article/6e41991129f34737912d40ae205efb11
Autor:
Przemyslaw Pietrzak, Marcin Wolkiewicz
Publikováno v:
Sensors, Vol 23, Iss 4, p 1757 (2023)
Reliable fault diagnosis and condition monitoring are essential for permanent magnet synchronous motor (PMSM) drive systems with high-reliability requirements. PMSMs can be subject to various types of damage during operation. Magnetic damage is a uni
Externí odkaz:
https://doaj.org/article/588bc339ecd8452da54b112fac947798
Autor:
Przemyslaw Pietrzak, Marcin Wolkiewicz
Publikováno v:
Sensors, Vol 22, Iss 24, p 9668 (2022)
Permanent magnet synchronous motors (PMSMs) have become one of the most important components of modern drive systems. Therefore, fault diagnosis and condition monitoring of these machines have been the subject of many studies in recent years. This ar
Externí odkaz:
https://doaj.org/article/671e540294a44e5c8bb8b3a492153d2c
Publikováno v:
IEEE Transactions on Industrial Electronics. 70:5192-5202
Autor:
Przemyslaw Pietrzak, Marcin Wolkiewicz
Publikováno v:
Energies, Vol 14, Iss 6, p 1630 (2021)
Stator winding faults are one of the most common faults of permanent magnet synchronous motors (PMSMs), and searching for methods to efficiently detect this type of fault and at an early stage of damage is still an ongoing, important topic. This pape
Externí odkaz:
https://doaj.org/article/7022326ac77c43488ef686d24677c8c3
Publikováno v:
Energies, Vol 13, Iss 6, p 1475 (2020)
In this paper, the idea of using a convolutional neural network (CNN) for the detection and classification of induction motor stator winding faults is presented. The diagnosis inference of the stator inter-turn short-circuits is based on raw stator c
Externí odkaz:
https://doaj.org/article/7717c3a3432e427ea0d8dcf2525839da
Publikováno v:
Energies, Vol 12, Iss 12, p 2392 (2019)
This paper presents a comparative study on the application of different neural network structures to early detection of electrical faults in induction motor drives. The diagnosis inference of the stator inter-turn short-circuits and broken rotor bars
Externí odkaz:
https://doaj.org/article/a50c203a8a0e46589de9bcaa74ce2b5a
Autor:
Grzegorz Tarchała, Marcin Wolkiewicz
Publikováno v:
Energies, Vol 12, Iss 8, p 1507 (2019)
This paper deals with the diagnosis of stator winding inter-turn faults for an induction motor drive operating without a speed sensor in a speed-sensorless mode. The rotor direct field oriented control structure (DFOC) was applied, its reference curr
Externí odkaz:
https://doaj.org/article/3fac64c71e8f4c6995c3bdaff87f65d6