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Hybrid fault detection methods of permanent magnet synchronous motors in electrical drives with vector control using analytic and neural calculations

2017/27/B/ST7/00816

Keywords

Descriptors

  • ST7_2: Elektrotechnika, elektronika: półprzewodniki, elementy i układy, systemy
  • ST7_7: Przetwarzanie sygnałów
  • ST7_4: Inżynieria systemów, sensoryka, automatyka

Panel

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

Host institution

Politechnika Wrocławska

Voivodeship: dolnośląskie

Other projects carried out by the institution »

Principal investigator (from the host institution)

prof. Teresa Bronisława Orłowska-Kowalska

Number of co-investigators in the project: 7

Call

OPUS 14 – announced on 2017-09-15

Amount awarded
830 400 PLN
Project start date
2018-09-03
Project end date
2022-12-02
Project duration
51 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.

Equipment purchased [PL]

  1. Modułowy system pomiarowy z matrycą FPGA. Cost: 160 000 PLN
  2. Monitor LCD 24 Asus VA24DQ - 2 sztuki. Cost: 1 180 PLN
  3. Silniki synchroniczne z magnesami trwałymi (2 pcs). Cost: 11 000 PLN
  4. Stanowisko laboratoryjne z silnikami PMSM z układem zapewniającym moment obciążenia.. Cost: 35 000 PLN

Information in the final report

Publication in academic press/journals (24)

  1. PMSM Stator Winding Fault Detection and Classification Based on Bispectrum Analysis and Convolutional Neural Network

    Authors:
    Przemyslaw Pietrzak, Marcin Wolkiewicz, Teresa Orlowska-Kowalska
    Academic press:
    IEEE Transactions on Industrial Electronics (year: 2023, volume: vol. 7, no. 5, pages: 5192-5202), Publisher: IEEE
    Status:
    Published
    DOI:
    10.1109/TIE.2022.3189076 – link to the publication

  2. Detection of permanent magnet damage of PMSM drive based on direct analysis of stator phase currents using convolutional neural network

    Authors:
    Maciej Skowron, Teresa Orlowska-Kowalska, Czeslaw T. Kowalski
    Academic press:
    IEEE Transactions on Industrial Electronics (year: 2022, volume: vol. 69, no. 12, pages: 13665-13675), Publisher: IEEE
    Status:
    Published
    DOI:
    10.1109/TIE.2022.3146557 – link to the publication

  3. Stator winding fault detection of Permanent Magnet Synchronous Motors based on the bispectrum analysis

    Authors:
    Przemyslaw Pietrzak, Marcin Wolkiewicz
    Academic press:
    Bulletin of the Polish Academy of Sciences. Technical Sciences (year: 2022, volume: vol. 70, no. 2, Article number: e140556, pages: 46033), Publisher: Polish Academy of Sciences
    Status:
    Published
    DOI:
    10.24425/bpasts.2022.140556 – link to the publication

  4. Analysis of the Impact of Stator Inter-Turn Short Circuits on PMSM Drive with Scalar and Vector Control

    Authors:
    Mateusz Krzysztofiak, Maciej Skowron and Teresa Orlowska-Kowalska
    Academic press:
    Energies (year: 2021, volume: 14, 153, pages: 46042), Publisher: MDPI
    Status:
    Published
    DOI:
    10.3390/en14010153 – link to the publication

  5. Fault Diagnosis and Fault-Tolerant Control of PMSM DrivesState of the Art and Future Challenges

    Authors:
    Teresa Orlowska-Kowalska, Marcin Wolkiewicz, Przemyslaw Pietrzak, Maciej Skowron, Pawel Ewert, Grzegorz Tarchala, Mateusz Krzysztofiak, Czeslaw T. Kowalski
    Academic press:
    IEEE Access (year: 2022, volume: vol. 10, pages: 59979-600024), Publisher: IEEE
    Status:
    Published
    DOI:
    10.1109/ACCESS.2022.3180153 – link to the publication

  6. 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, Czeslaw T. Kowalski, Teresa Orlowska-Kowalska
    Academic press:
    Energies (year: 2022, volume: vol. 15, art. 7008, pages: 46044), Publisher: MDPI
    Status:
    Published
    DOI:
    10.3390/en15197008 – link to the publication

  7. Application of spectral and wavelet analysis of stator current to detect angular misalignment in PMSM drive systems

    Authors:
    Przemysław Pietrzak, Marcin Wolkiewicz
    Academic press:
    Power Electronics and Drives (year: 2021, volume: vol. 6(41), pages: 42-60), Publisher: Sciendo
    Status:
    Published
    DOI:
    10.2478/pead-2021-0004 – link to the publication

  8. Effectiveness analysis of PMSM motor rolling bearing fault detectors based on vibration analysis and shallow neural networks

    Authors:
    Ewert Paweł, Orlowska-Kowalska Teresa, Jankowska Kamila
    Academic press:
    Energies (year: 2021, volume: 14, art. 712, pages: 46046), Publisher: MDPI
    Status:
    Published
    DOI:
    10.3390/en14030712 – link to the publication

  9. Application of simplified Convolutional Neural Networks for initial stator winding fault detection of PMSM drive using different raw signal data

    Authors:
    Maciej Skowron, Teresa Orlowska-Kowalska, Czeslaw T. Kowalski
    Academic press:
    IET Electric Power Applications (year: 2021, volume: 15, pages: 932-946), Publisher: IET
    Status:
    Published
    DOI:
    10.1049/elp2.12066 – link to the publication

  10. Comparison of Selected Methods for the Stator Winding Condition Monitoring of a PMSM Using the Stator Phase Currents

    Authors:
    Przemysław Pietrzak, Marcin Wolkiewicz
    Academic press:
    Energies (year: 2021, volume: 14, art. 1630., pages: 46045), Publisher: MDPI
    Status:
    Published
    DOI:
    10.3390/en14061630 – link to the publication

  11. On-line Detection and Classification of PMSM Stator Winding Faults Based on Stator Current Symmetrical Components Analysis and the KNN Algorithm

    Authors:
    Przemysław Pietrzak, Marcin Wolkiewicz
    Academic press:
    Electronics (year: 2021, volume: 10, art. 1786, pages: 46043), Publisher: MDPI
    Status:
    Published

  12. The Application of the Bispectrum Analysis to Detect the Rotor Unbalance of the Induction Motor Supplied by the Mains and Frequency Converter

    Authors:
    Paweł Ewert
    Academic press:
    Energies (year: 2020, volume: 13, 3009, pages: 46040), Publisher: MDPI
    Status:
    Published
    DOI:
    10.3390/en13113009 – link to the publication

  13. Effectiveness of Neural Fault Detectors of Permanent Magnet Synchronous Motor Trained With Symptoms From Field-Circuit Modeling

    Authors:
    Maciej Skowron, Mateusz Krzysztofiak, Teresa Orlowska-Kowalska
    Academic press:
    IEEE Access (year: 2022, volume: vol. 10, pages: 104598-104611), Publisher: IEEE
    Status:
    Published
    DOI:
    10.1109/ACCESS.2022.3211087 – link to the publication

  14. Application of self-organizing neural networks to electrical fault classification in induction motors

    Authors:
    Maciej Skowron, Marcin Wolkiewicz, Teresa Orłowska-Kowalska, Czesław T. Kowalski
    Academic press:
    Applied Sciences (year: 2019, volume: vol. 9, pages: no. 4, art. 616, s. 1-22), Publisher: MDPI
    Status:
    Published
    DOI:
    10.3390/app9040616 – link to the publication

  15. Effectiveness Analysis of Rolling Bearing Fault Detectors Based On Self-Organizing Kohonen Neural Network – A Case Study of PMSM Drive

    Authors:
    Kamila Jankowska, Paweł Ewert
    Academic press:
    Power Electronics and Drives (year: 2021, volume: vol. 6 (41), pages: 100-112), Publisher: Sciendo
    Status:
    Published
    DOI:
    10.2478/pead-2021-0008 – link to the publication

  16. Comparison of the Effectiveness of Selected Vibration Signal Analysis Methods in the Rotor Unbalance Detection of PMSM Drive System

    Authors:
    Paweł Ewert, Czesław T. Kowalski, Michał Jaworski
    Academic press:
    Electronics (year: 2022, volume: vol. 11, art. 1748, pages: 46040), Publisher: MDPI
    Status:
    Published

  17. Machine learning based stator current data-driven PMSM stator winding fault diagnosis

    Authors:
    Przemysław Pietrzak, Marcin Wolkiewicz
    Academic press:
    Sensors (year: 2022, volume: 22(24), art. 9668, pages: 46050), Publisher: MDPI
    Status:
    Published
    DOI:
    10.3390/s22249668 – link to the publication

  18. Application of deep learning neural networks for the diagnosis of electrical damage to the induction motor using the axial flux

    Authors:
    Skowron Maciej
    Academic press:
    Bulletin of the Polish Academy of Sciences. Technical Sciences (year: 2020, volume: 68, no.5, pages: 1031-1038), Publisher: Polish Academy of Sciences
    Status:
    Published
    DOI:
    10.24425/bpasts.2020.134664 – link to the publication

  19. Stator winding fault diagnosis of induction motor operating under the field-oriented control with convolutional neural networks

    Authors:
    Maciej Skowron,Marcin Wolkiewicz, Grzegorz Tarchała
    Academic press:
    Bulletin of the Polish Academy of Sciences. Technical Sciences (year: 2020, volume: 68, no.5, pages: 1039-1048), Publisher: Polish Academy of Sciences
    Status:
    Published
    DOI:
    10.24425/bpasts.2020.134660 – link to the publication

  20. Convolutional Neural Network-Based Stator Current Data-Driven Incipient Stator Fault Diagnosis of Inverter-Fed Induction Motor

    Authors:
    Maciej Skowron, Teresa Orłowska-Kowalska, Marcin Wolkiewicz, Czesław T. Kowalski
    Academic press:
    Energies (year: 2020, volume: 13, 1475, pages: 46043), Publisher: MDPI
    Status:
    Published
    DOI:
    10.3390/en13061475 – link to the publication

  21. Effectiveness of selected neural network structures based on axial flux analysis in stator and rotor winding incipient fault detection of inverter-fed induction motors

    Authors:
    Maciej Skowron, Marcin Wolkiewicz, Teresa Orłowska-Kowalska, Czesław T. Kowalski
    Academic press:
    Energies (year: 2019, volume: vol. 12, pages: no. 12, art. 2392, s. 1-20), Publisher: MDPI
    Status:
    Published
    DOI:
    10.3390/en12122392 – link to the publication

  22. Efficiency of Cascaded Neural Networks in Detecting Initial Damage to Induction Motor Electric Windings

    Authors:
    Skowron Maciej, Orłowska-Kowalska Teresa
    Academic press:
    Electronics (year: 2020, volume: 9, 1314, pages: 46042), Publisher: MDPI
    Status:
    Published
    DOI:
    10.3390/electronics9081314 – link to the publication

  23. Stator winding fault detection of permanent magnet synchronous motors based on the short-time Fourier transform

    Authors:
    Przemysław Pietrzak, Marcin Wolkiewicz
    Academic press:
    Power Electronics and Drives (year: 2022, volume: vol. 7 (42), pages: 112-133), Publisher: Sciendo
    Status:
    Published
    DOI:
    10.2478/pead-2022-0009 – link to the publication

  24. Online control signal based diagnosis of interturn short circuits of PMSM drive

    Authors:
    Mateusz Krzysztofiak, Tomasz Zawilak, Grzegorz Tarchała
    Status:
    Accepted for publication

Articles in post-conference publications (13)

  1. Application of Hybrid Neural Network to Detection of Induction Motor Electrical Faults

    Authors:
    Skowron M., Wolkiewicz M., Orlowska-Kowalska T., Kowalski T.C.
    Conference:
    2019 International Conference on Electrical Drives & Power Electronics (EDPE), The High Tatras, Slovak Republic (year: 2019, pages: 46184), Publisher: IEEE
    Date:
    conference 24-26 September, 2019
    Status:
    Published

  2. Stator Phase Current STFT analysis for the PMSM Stator Winding Fault Diagnosis

    Authors:
    Pietrzak P., Wolkiewicz M.
    Conference:
    2022 International Symposium on Power Electronics, Electrical Drives, Automation and Motion, Sorento, Italy (year: 2022, pages: pp. 799-804), Publisher: IEEE
    Date:
    conference 24-26 June, 2022
    Status:
    Published

  3. Application of Support Vector Machine to stator winding fault detection and classification of permanent magnet synchronous motor

    Authors:
    Pietrzak P., Wolkiewicz M.
    Conference:
    2021 IEEE 19th International Power Electronics and Motion Control Conference (PEMC), Gliwice, Poland (year: 2021, pages: 880-887), Publisher: IEEE, Danvers, MA, USA
    Date:
    conference 25-29 April, 2021
    Status:
    Published

  4. Application of PMSM fault detector based on Kohonen classifier and FEM model

    Authors:
    Skowron M., Krzysztofiak M., Orlowska-Kowalska T.
    Conference:
    2022 International Symposium on Power Electronics, Electrical Drives, Automation and Motion, Sorento, Italy (year: 2022, pages: pp. 805-810), Publisher: IEEE
    Date:
    conference 24-26 June, 2022
    Status:
    Published

  5. Zastosowanie sieci neuronowych do detekcji zwarć zwojowych silnika PMSM z wykorzystaniem modelowania matematycznego

    Authors:
    Krzysztofiak M., Tarchała G.
    Conference:
    XV Konferencja Naukowa Sterowanie w Energoelektronice i Napędzie Elektrycznym (SENE 2022), Łódź, Polska (year: 2022, pages: 46028), Publisher: PTETiS, Oddział Łódź
    Date:
    conference 23-25 listopada 2022
    Status:
    Published

  6. Zastosowanie konwolucyjnych sieci neuronowych do diagnostyki elektrycznych uszkodzeń silnika indukcyjnego przy wykorzystaniu sygnału strumienia poosiowego

    Authors:
    Skowron Maciej
    Conference:
    Sterowanie w Energoelektronice i Napędzie Elektrycznym (SENE 2019), Łódź, Polska (year: 2019, pages: 46027), Publisher: PTETiS Oddział Łódź
    Date:
    conference 20-22 listopada
    Status:
    Published

  7. Diagnostic of the PMSM stator and rotor faults with the use of shallow neural networks

    Authors:
    Skowron M., Orlowska-Kowalska T., Kowalski C.T.
    Conference:
    14th International Conference of TC-Electrimacs Committee (ELECTRIMACS), Nancy, France (year: 2022, pages: 46027), Publisher: IEEE
    Date:
    conference 16-19 May 2022
    Status:
    Published

  8. Stator Interturn Short-Circuits Detection in the PMSM Drive by using Current Symmetrical Components and Selected Machine Learning Algorithms

    Authors:
    Pietrzak P., Wolkiewicz M.
    Conference:
    14th International Conference of TC-Electrimacs Committee (ELECTRIMACS), Nancy, France (year: 2022, pages: 46028), Publisher: IEEE
    Date:
    conference 16-19 May 2022
    Status:
    Published

  9. Application of selected higher-order methods to detect rotor unbalance of drive system with PMSM

    Authors:
    Paweł G. Ewert, Michał Jaworski
    Conference:
    2021 IEEE 19th International Power Electronics and Motion Control Conference (PEMC), Gliwice, Poland (year: 2021, pages: 874-879), Publisher: IEEE, Danvers, MA, USA
    Date:
    conference 25-29 April 2021
    Status:
    Published

  10. Wpływ pasma przenoszenia układu regulacji prądu na generację symptomów zwarć zwojowych silnika PMSM

    Authors:
    Tarchała G., Krzysztofiak M.
    Conference:
    XV Konferencja Naukowa Sterowanie w Energoelektronice i Napędzie Elektrycznym (SENE 2022), Łódź, Polska (year: 2022, pages: 46028), Publisher: PTETiS, Oddział Łódź
    Date:
    conference 23-25 listopada 2022
    Status:
    Published

  11. Diagnostyka uszkodzeń stojana silnika indukcyjnego pracującego w polowo-zorientowanej strukturze sterowania przy użyciu konwolucyjnych sieci neuronowych

    Authors:
    Maciej Skowron, Marcin Wolkiewicz, Grzegorz J. Tarchała
    Conference:
    Sterowanie w Energoelektronice i Napędzie Elektrycznym (SENE 2019), Łódź, Polska (year: 2019, pages: 46027), Publisher: PTETiS Oddział Łódź
    Date:
    conference 20-22 listopada
    Status:
    Published

  12. Diagnostyka zwarć międzyzwojowych uzwojenia stojana PMSM przy zastosowaniu analizy STFT składowych symetrycznych prądów stojana oraz uczenia maszynowego

    Authors:
    Pietrzak P., Wolkiewicz M.
    Conference:
    XV Konferencja Naukowa Sterowanie w Energoelektronice i Napędzie Elektrycznym (SENE 2022), Łódź, Polska (year: 2022, pages: 46028), Publisher: PTETiS, Oddział Łódź
    Date:
    conference 23-25 listopada 2022
    Status:
    Published

  13. Zastosowanie krótkoczasowej transformaty Fouriera oraz sztucznej inteligencji do wykrywania uszkodzeń uzwojeń stojana silnika synchronicznego o magnesach trwałych

    Authors:
    Pietrzak P., Wolkiewicz M.
    Conference:
    XV Konferencja Naukowa Sterowanie w Energoelektronice i Napędzie Elektrycznym (SENE 2022), Łódź, Polska (year: 2022, pages: 46028), Publisher: PTETiS, Oddział Łódź
    Date:
    conference 23-25 listopada 2022
    Status:
    Published

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Graphic design and implementation: Jakub Piotrowski