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Information on the principal investigator and host institution

Information of the project and the call

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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:

controlled electrical drives fault detection diagnostics permanant magnet synchronous motor analytical models signal processing neural networks

Descriptors:

  • ST7_2: Electrical engineering: power components and/or systems
  • ST7_7: Signal processing
  • ST7_4: Micro- and nanosystems engineering

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):

prof. Teresa 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 (Y-m-d): 2018-09-03

Project end date (Y-m-d): 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 (160 000 PLN)
  2. Stanowisko laboratoryjne z silnikami PMSM z układem zapewniającym moment obciążenia. (35 000 PLN)
  3. Silniki synchroniczne z magnesami trwałymi (2 szt.) (11 000 PLN)
  4. Monitor LCD 24 Asus VA24DQ - 2 sztuki (1 180 PLN)

Information in the final report

  • Publication in academic press/journals (25)
  • Articles in post-conference publications (13)
  1. 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 (rok: 2021, tom: vol. 6(41), strony: 42-60), Wydawca: Sciendo
    Status:
    Published
    DOI:
    10.2478/pead-2021-0004 - link to the publication
  2. 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 (rok: 2021, tom: vol. 6 (41), strony: 100-112), Wydawca: Sciendo
    Status:
    Published
    DOI:
    10.2478/pead-2021-0008 - link to the publication
  3. 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 (rok: 2021, tom: 10, art. 1786, strony: 45312), Wydawca: MDPI
    Status:
    Published
    DOI:
    10.3390/ - link to the publication
  4. 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 (rok: 2020, tom: 68, no.5, strony: 1039-1048), Wydawca: Polish Academy of Sciences
    Status:
    Published
    DOI:
    10.24425/bpasts.2020.134660 - link to the publication
  5. 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 (rok: 2020, tom: 13, 3009, strony: 45309), Wydawca: MDPI
    Status:
    Published
    DOI:
    10.3390/en13113009 - link to the publication
  6. 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 (rok: 2021, tom: 14, 153, strony: 45311), Wydawca: MDPI
    Status:
    Published
    DOI:
    10.3390/en14010153 - link to the publication
  7. 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 (rok: 2020, tom: 13, 1475, strony: 45312), Wydawca: MDPI
    Status:
    Published
    DOI:
    10.3390/en13061475 - link to the publication
  8. 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 (rok: 2022, tom: vol. 10, strony: 59979-600024), Wydawca: IEEE
    Status:
    Published
    DOI:
    10.1109/ACCESS.2022.3180153 - link to the publication
  9. 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 (rok: 2022, tom: vol. 15, art. 7008, strony: 45313), Wydawca: MDPI
    Status:
    Published
    DOI:
    10.3390/en15197008 - link to the publication
  10. 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 (rok: 2022, tom: vol. 70, no. 2, Article number, strony: 45302), Wydawca: Polish Academy of Sciences
    Status:
    Published
    DOI:
    10.24425/bpasts.2022.140556 - link to the publication
  11. Online control signal based diagnosis of interturn short circuits of PMSM drive
    Authors:
    Mateusz Krzysztofiak, Tomasz Zawilak, Grzegorz Tarchała
    Academic press:
    Archive of Electrical Engineering (rok: 2023, tom: vol. 72, no. 1, strony: brak), Wydawca: Polisch Academy of Science
    Status:
    Accepted for publication
    DOI:
    brak - link to the publication
  12. Comparative study between the Wavelet and Hilbert-Huang Transforms applied to an unbalance detection in Permanent Magnet Synchronous Motor Drive
    Authors:
    Czesław T. Kowalski, Michał Jaworski
    Academic press:
    Power Electronics and Drives (rok: 2023, tom: brak, strony: brak), Wydawca: Sciendo
    Status:
    Submitted
    DOI:
    brak - link to the publication
  13. 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 (rok: 2021, tom: 15, strony: 932-946), Wydawca: IET
    Status:
    Published
    DOI:
    10.1049/elp2.12066 - link to the publication
  14. 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 (rok: 2021, tom: 14, art. 1630., strony: 45314), Wydawca: MDPI
    Status:
    Published
    DOI:
    10.3390/en14061630 - link to the publication
  15. 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 (rok: 2022, tom: vol. 69, no. 12, strony: 13665-13675), Wydawca: IEEE
    Status:
    Published
    DOI:
    10.1109/TIE.2022.3146557 - link to the publication
  16. 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 (rok: 2021, tom: 14, art. 712, strony: 45315), Wydawca: MDPI
    Status:
    Published
    DOI:
    10.3390/en14030712 - link to the publication
  17. 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 (rok: 2019, tom: vol. 12, strony: no. 12, art. 2392, s. 1-20), Wydawca: MDPI
    Status:
    Published
    DOI:
    10.3390/en12122392 - link to the publication
  18. Efficiency of Cascaded Neural Networks in Detecting Initial Damage to Induction Motor Electric Windings
    Authors:
    Skowron Maciej, Orłowska-Kowalska Teresa
    Academic press:
    Electronics (rok: 2020, tom: 9, 1314, strony: 45311), Wydawca: MDPI
    Status:
    Published
    DOI:
    10.3390/electronics9081314 - link to the publication
  19. 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 (rok: 2023, tom: vol. 7, no. 5, strony: 5192-5202), Wydawca: IEEE
    Status:
    Published
    DOI:
    10.1109/TIE.2022.3189076 - link to the publication
  20. 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 (rok: 2019, tom: vol. 9, strony: no. 4, art. 616, s. 1-22), Wydawca: MDPI
    Status:
    Published
    DOI:
    10.3390/app9040616 - link to the publication
  21. 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 (rok: 2022, tom: vol. 10, strony: 104598-104611), Wydawca: IEEE
    Status:
    Published
    DOI:
    10.1109/ACCESS.2022.3211087 - link to the publication
  22. Machine learning based stator current data-driven PMSM stator winding fault diagnosis
    Authors:
    Przemysław Pietrzak, Marcin Wolkiewicz
    Academic press:
    Sensors (rok: 2022, tom: 22(24), art. 9668, strony: 45319), Wydawca: MDPI
    Status:
    Published
    DOI:
    10.3390/s22249668 - link to the publication
  23. 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 (rok: 2020, tom: 68, no.5, strony: 1031-1038), Wydawca: Polish Academy of Sciences
    Status:
    Published
    DOI:
    10.24425/bpasts.2020.134664 - link to the publication
  24. 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 (rok: 2022, tom: vol. 11, art. 1748, strony: 45309), Wydawca: MDPI
    Status:
    Published
    DOI:
    10.3390/ - link to the publication
  25. 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 (rok: 2022, tom: vol. 7 (42), strony: 112-133), Wydawca: Sciendo
    Status:
    Published
    DOI:
    10.2478/pead-2022-0009 - link to the publication
  1. 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 (rok: 2021, ), Wydawca: IEEE, Danvers, MA, USA
    Data:
    konferencja 25-29 April, 2021
    Status:
    Published
  2. 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 (rok: 2021, ), Wydawca: IEEE, Danvers, MA, USA
    Data:
    konferencja 25-29 April 2021
    Status:
    Published
  3. 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 (rok: 2022, ), Wydawca: IEEE
    Data:
    konferencja 16-19 May 2022
    Status:
    Published
  4. 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 (rok: 2022, ), Wydawca: PTETiS, Oddział Łódź
    Data:
    konferencja 23-25 listopada 2022
    Status:
    Published
  5. 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 (rok: 2019, ), Wydawca: PTETiS Oddział Łódź
    Data:
    konferencja 20-22 listopada
    Status:
    Published
  6. 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 (rok: 2019, ), Wydawca: IEEE
    Data:
    konferencja 24-26 September, 2019
    Status:
    Published
  7. 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 (rok: 2022, ), Wydawca: PTETiS, Oddział Łódź
    Data:
    konferencja 23-25 listopada 2022
    Status:
    Published
  8. 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 (rok: 2022, ), Wydawca: PTETiS, Oddział Łódź
    Data:
    konferencja 23-25 listopada 2022
    Status:
    Published
  9. 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 (rok: 2022, ), Wydawca: IEEE
    Data:
    konferencja 16-19 May 2022
    Status:
    Published
  10. 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 (rok: 2022, ), Wydawca: IEEE
    Data:
    konferencja 24-26 June, 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 (rok: 2019, ), Wydawca: PTETiS Oddział Łódź
    Data:
    konferencja 20-22 listopada
    Status:
    Published
  12. 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 (rok: 2022, ), Wydawca: PTETiS, Oddział Łódź
    Data:
    konferencja 23-25 listopada 2022
    Status:
    Published
  13. 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 (rok: 2022, ), Wydawca: IEEE
    Data:
    konferencja 24-26 June, 2022
    Status:
    Published

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