A marine current turbine imbalance fault detection method based on Park's vector transformation and signal reconstruction

Qun Liu; Qisheng Zhou

doi:10.1117/12.3014787

4 March 2024 A marine current turbine imbalance fault detection method based on Park's vector transformation and signal reconstruction

Qun Liu, Qisheng Zhou

Author Affiliations +

Proceedings Volume 12981, Ninth International Symposium on Sensors, Mechatronics, and Automation System (ISSMAS 2023); 1298123 (2024) https://doi.org/10.1117/12.3014787
Event: 9th International Symposium on Sensors, Mechatronics, and Automation (ISSMAS 2023), 2023, Nanjing, China

Abstract

With the demand for energy, the marine current turbine (MCT) has been further developed. Since the blades are exposed to the sea water for a long time, they are prone to be affected by dirt and turbidity, and such imbalance fault features are difficult to be extracted owing to the frequent fluctuation of the current speed. Based on this, this paper proposes a method of Park's vector transformation and signal reconstruction. Firstly, the three-phase stator currents of a marine current generator are projected into the two-phase static coordinate system to obtain the square of modulus signal, which is filtered by wavelet transform and decomposed by empirical mode decomposition (EEMD) to obtain some IMF components, and then the signal reconstruction of some IMF components is carried out. By wavelet time-analysis, MCT blade state can be detected. The method proposed in this paper successfully detects the blade imbalanced fault.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Qun Liu and Qisheng Zhou "A marine current turbine imbalance fault detection method based on Park's vector transformation and signal reconstruction", Proc. SPIE 12981, Ninth International Symposium on Sensors, Mechatronics, and Automation System (ISSMAS 2023), 1298123 (4 March 2024); https://doi.org/10.1117/12.3014787

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