Projects funded by the NCN

Information on the principal investigator and host institution

Information of the project and the call

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Fault diagnostics of permanent magnet synchronous motors based on deep neural networks and transfer learning

2021/41/N/ST7/01673

Keywords:

transfer learning deep neural networks electrical motor fault diagnostics permanent magnet synchronous motor

Descriptors:

  • ST7_001:
  • ST7_002:
  • ST7_003:

Panel:

ST7 - Systems and communication engineering: electronics, communication, optoelectronics

Host institution :

Politechnika Wrocławska

woj. dolnośląskie

Other projects carried out by the institution 

Principal investigator (from the host institution):

dr Maciej Skowron 

Number of co-investigators in the project: 2

Call: PRELUDIUM 20 - announced on 2021-03-15

Amount awarded: 136 600 PLN

Project start date (Y-m-d): 2022-01-04

Project end date (Y-m-d): 2024-01-03

Project duration:: 24 months (the same as in the proposal)

Project status: Project settled

Project description

Download the project description in a pdf file

Note - project descriptions were prepared by the authors of the applications themselves and placed in the system in an unchanged form.

Information in the final report

  • Publication in academic press/journals (6)
  • Articles in post-conference publications (3)
  1. Transfer learning-based fault detection system of electrical and magnetic circuits of permanent magnet synchronous motors
    Authors:
    Maciej Skowron
    Academic press:
    IEEE Access (rok: 2024, tom: XX, strony: 45664), Wydawca: IEEE
    Status:
    Submitted
  2. Analysis of PMSM short-circuit detection systems using transfer learning of deep convolutional networks
    Authors:
    Maciej Skowron
    Academic press:
    Power Electronics and Drives (rok: 2024, tom: 9, strony: 21-33), Wydawca: Sciendo
    Status:
    Published
    DOI:
    10.2478/pead-2024-0002 - link to the publication
  3. Diagnosis of Stator Winding and Permanent Magnet Faults of PMSM Drive Using Shallow Neural Networks
    Authors:
    Maciej Skowron, Teresa Orłowska-Kowalska, Czesław T. Kowalski
    Academic press:
    Electronics (rok: 2023, tom: 12, strony: 1068), Wydawca: MDPI
    Status:
    Published
    DOI:
    10.3390/electronics12051068 - link to the publication
  4. Impact of the Convolutional Neural Network Structure and Training Parameters on the Effectiveness of the Diagnostic Systems of Modern AC Motor Drives
    Authors:
    Maciej Skowron, Czesław T. Kowalski, Teresa Orłowska-Kowalska
    Academic press:
    Energies (rok: 2022, tom: 15, strony: 7008), Wydawca: Energies
    Status:
    Published
    DOI:
    10.3390/en15197008 - link to the publication
  5. Impact of the Convolutional Neural Network Structure and Training Parameters on the Effectiveness of the Diagnostic Systems of Modern AC Motor Drives
    Authors:
    Maciej Skowron, Czesław T. Kowalski, Teresa Orłowska-Kowalska
    Academic press:
    Energies (rok: 2022, tom: 15, strony: 7008), Wydawca: MDPI
    Status:
    Published
    DOI:
    10.3390/en15197008 - link to the publication
  6. Automatic extraction of universal PMSM stator and rotor fault symptoms using transfer learning and field-circuit model
    Authors:
    Maciej Skowron, Mateusz Krzysztofiak
    Academic press:
    IEEE/ASME Transactions on Mechatronics (rok: 2024, tom: XX, strony: 45666), Wydawca: IEEE/ASME
    Status:
    Submitted
  1. Permanent Magnet Synchronous Motor Fault Detection System Based on Transfer Learning Method
    Authors:
    Maciej Skowron, Czesław T. Kowalski
    Conference:
    IECON 2022 – 48th Annual Conference of the IEEE Industrial Electronics Society (rok: 2022, tom: IECON 2022 – 48th Annual Conference of the IEEE Industrial Electronics Society, strony: 45663), Wydawca: IEEE
    Data:
    konferencja 17-20.10.2022
    Status:
    Published
    DOI:
    10.1109/IECON49645.2022.9968867 - link to the publication
  2. Permanent Magnet Synchronous Motor Fault Detection System Based on Transfer Learning Method
    Authors:
    Maciej Skowron, Czesław T. Kowalski
    Conference:
    IECON 2022 – 48th Annual Conference of the IEEE Industrial Electronics Society (rok: 2022, tom: IECON 2022 – 48th Annual Conference of the IEEE Industrial Electronics Society, strony: 45663), Wydawca: IEEE
    Data:
    konferencja 17-20.10.2022
    Status:
    Published
    DOI:
    10.1109/IECON49645.2022.9968867 - link to the publication
  3. Development of a universal diagnostic system for stator winding faults of induction motor and PMSM based on transfer learning
    Authors:
    Maciej Skowron
    Conference:
    SDEMPED 2023 - IEEE International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (rok: 2023, tom: 2023 IEEE 14th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED), strony: 517-523), Wydawca: IEEE
    Data:
    konferencja 28-31.08.2023
    Status:
    Published
    DOI:
    10.1109/SDEMPED54949.2023.10271444 - link to the publication

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