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Inverter-Fed Motor Drive System: A Systematic Analysis of Condition Monitoring and Practical Diagnostic Techniques

Author

Listed:
  • Muhammad Usman Sardar

    (Department of Electrical Power Engineering and Mechatronics, Tallinn University of Technology, 12616 Tallinn, Estonia)

  • Toomas Vaimann

    (Department of Electrical Power Engineering and Mechatronics, Tallinn University of Technology, 12616 Tallinn, Estonia)

  • Lauri Kütt

    (Department of Electrical Power Engineering and Mechatronics, Tallinn University of Technology, 12616 Tallinn, Estonia)

  • Ants Kallaste

    (Department of Electrical Power Engineering and Mechatronics, Tallinn University of Technology, 12616 Tallinn, Estonia)

  • Bilal Asad

    (Department of Electrical Power Engineering and Mechatronics, Tallinn University of Technology, 12616 Tallinn, Estonia
    Department of Electrical Power Engineering, The Islamia University of Bahawalpur, Bahawalpur 63100, Pakistan)

  • Siddique Akbar

    (Department of Electrical Power Engineering and Mechatronics, Tallinn University of Technology, 12616 Tallinn, Estonia)

  • Karolina Kudelina

    (Department of Electrical Power Engineering and Mechatronics, Tallinn University of Technology, 12616 Tallinn, Estonia)

Abstract

Due to their efficiency and control capabilities, induction motors fed with inverters have become prevalent in various industrial applications. However, ensuring the reliable operation of the motor and diagnosing faults on time are crucial for preventing unexpected failures and minimizing downtime. This paper systematically analyzes condition monitoring and practical diagnostic techniques for inverter-fed motor drive systems. This study encompasses a thorough evaluation of different methods used for condition monitoring and diagnostics of induction motors, with the most crucial faults in their stator, rotor, bearings, eccentricity, shaft currents, and partial discharges. It also includes an assessment of their applicability. The presented analysis includes a focus on the challenges associated with inverter-fed systems, such as high-frequency harmonics, common-mode voltages causing the bearing currents, and high voltage gradients ( dv / dt ) due to fast switching frequency, which can impact the motor operation, as well as its faults analysis. Furthermore, this research explores the usefulness and efficiency of various available diagnostic methods, such as motor current signature analysis and other useful analyses using advanced signal processing techniques. This study aims to present findings that provide valuable insights for developing comprehensive condition monitoring strategies, and practical diagnostic techniques that enable proactive maintenance, enhanced system performance, and improved operational reliability of inverter-fed motor drive systems.

Suggested Citation

  • Muhammad Usman Sardar & Toomas Vaimann & Lauri Kütt & Ants Kallaste & Bilal Asad & Siddique Akbar & Karolina Kudelina, 2023. "Inverter-Fed Motor Drive System: A Systematic Analysis of Condition Monitoring and Practical Diagnostic Techniques," Energies, MDPI, vol. 16(15), pages 1-41, July.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:15:p:5628-:d:1203070
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    References listed on IDEAS

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    1. Manje Yea & Ki Jin Han, 2020. "Modified Slot Opening for Reducing Shaft-to-Frame Voltage of AC Motors," Energies, MDPI, vol. 13(3), pages 1-9, February.
    2. Rahul R. Kumar & Mauro Andriollo & Giansalvo Cirrincione & Maurizio Cirrincione & Andrea Tortella, 2022. "A Comprehensive Review of Conventional and Intelligence-Based Approaches for the Fault Diagnosis and Condition Monitoring of Induction Motors," Energies, MDPI, vol. 15(23), pages 1-36, November.
    3. Sudip Halder & Sunil Bhat & Daria Zychma & Pawel Sowa, 2022. "Broken Rotor Bar Fault Diagnosis Techniques Based on Motor Current Signature Analysis for Induction Motor—A Review," Energies, MDPI, vol. 15(22), pages 1-20, November.
    4. Robles, Endika & Fernandez, Markel & Andreu, Jon & Ibarra, Edorta & Zaragoza, Jordi & Ugalde, Unai, 2022. "Common-mode voltage mitigation in multiphase electric motor drive systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 157(C).
    5. Karolina Kudelina & Bilal Asad & Toomas Vaimann & Anton Rassõlkin & Ants Kallaste & Huynh Van Khang, 2021. "Methods of Condition Monitoring and Fault Detection for Electrical Machines," Energies, MDPI, vol. 14(22), pages 1-20, November.
    6. Davide D’Amato & Jelena Loncarski & Vito Giuseppe Monopoli & Francesco Cupertino & Luigi Pio Di Noia & Andrea Del Pizzo, 2022. "Impact of PWM Voltage Waveforms in High-Speed Drives: A Survey on High-Frequency Motor Models and Partial Discharge Phenomenon," Energies, MDPI, vol. 15(4), pages 1-30, February.
    7. Jing Tang & Jie Chen & Kan Dong & Yongheng Yang & Haichen Lv & Zhigang Liu, 2019. "Modeling and Evaluation of Stator and Rotor Faults for Induction Motors," Energies, MDPI, vol. 13(1), pages 1-20, December.
    8. Zijian Liu & Pinjia Zhang & Shan He & Jin Huang, 2021. "A Review of Modeling and Diagnostic Techniques for Eccentricity Fault in Electric Machines," Energies, MDPI, vol. 14(14), pages 1-21, July.
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    Cited by:

    1. Taha Ahmad Hussein & Dahaman Ishak & Mohamad Tarnini, 2024. "A Three-Phase Multilevel Inverter Synthesized with 31 Levels and Optimal Gating Angles Based on the GA and GWO to Supply a Three-Phase Induction Motor," Energies, MDPI, vol. 17(5), pages 1-22, March.
    2. Razan Issa & Guy Clerc & Malorie Hologne-Carpentier & Ryan Michaud & Eric Lorca & Christophe Magnette & Anes Messadi, 2024. "Review of Fault Diagnosis Methods for Induction Machines in Railway Traction Applications," Energies, MDPI, vol. 17(11), pages 1-24, June.
    3. Alejandro Sanz & Peter Meyer, 2024. "Electrifying the Last-Mile Logistics (LML) in Intensive B2B Operations—An European Perspective on Integrating Innovative Platforms," Logistics, MDPI, vol. 8(2), pages 1-39, April.

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