Abstract
In the light of the fact that the detection data is small, the fault diagnosis of the wind turbine often occurs. A multi-channel data acquisition based on wireless transmission wind turbine fault monitoring device is presented in this paper. The system used sensors to collect fan status data, and processes the signals by 32 bit digital signal processor DSP (TMS320F28335). The LabVIEW software system and the MCGS (Monitor and Control Generated System) configuration software display synchronously. The simulation experiments show that compared with the traditional wind generator online detection device, it can collect more data under various operating conditions, and provide a reliable basis for fault diagnosis.
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Acknowledgment
This research was financially supported by the National Natural Science Foundation of China (Grant No. 51367015 & No. 51667018).
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Zhang, G., Zhang, X., Yang, L., Luo, J. (2018). A Fault Detection Device for Wind Power Generator Based on Wireless Transmission. In: Yuan, H., Geng, J., Liu, C., Bian, F., Surapunt, T. (eds) Geo-Spatial Knowledge and Intelligence. GSKI 2017. Communications in Computer and Information Science, vol 848. Springer, Singapore. https://doi.org/10.1007/978-981-13-0893-2_11
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DOI: https://doi.org/10.1007/978-981-13-0893-2_11
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