A signal processing technology for simulated turbine blades

Jing Jiang; Ying Duan; Zezhan Zhang; Peifeng Yu; Xueke Gou; Yekui Zhong; Anmei Qiu; Shan Gao; Chao Wang

doi:10.1117/12.2549957

12 March 2020 A signal processing technology for simulated turbine blades

Jing Jiang, Ying Duan, Zezhan Zhang, Peifeng Yu, Xueke Gou, Yekui Zhong, Anmei Qiu, Shan Gao, Chao Wang

Proceedings Volume 11438, 2019 International Conference on Optical Instruments and Technology: Optoelectronic Imaging/Spectroscopy and Signal Processing Technology; 114380U (2020) https://doi.org/10.1117/12.2549957
Event: 2019 International Conference on Optical Instruments and Technology, 2019, Beijing, China

Abstract

In order to accurately monitor the working temperature of turbine blades, a signal processing technology for simulated blades is proposed in the paper. The method includes four steps: obtain the function relationship of voltage and temperature by fitting; segment the waveform of each circle by synchronization signals; filter the noise signal by Fast Fourier Transformation (FFT) and Butterworth low-pass filter; then restructure two-dimensional temperature by mapping temperature data into the polar coordinates. Finally, compared with the true temperature measured by thermocouple, the absolute temperature error after signal processing is no more than 4oC at temperatures range from 550oC to 1000oC, providing valuable guidelines for condition monitoring and fault diagnosis.

Citation Download Citation

Jing Jiang, Ying Duan, Zezhan Zhang, Peifeng Yu, Xueke Gou, Yekui Zhong, Anmei Qiu, Shan Gao, and Chao Wang "A signal processing technology for simulated turbine blades", Proc. SPIE 11438, 2019 International Conference on Optical Instruments and Technology: Optoelectronic Imaging/Spectroscopy and Signal Processing Technology, 114380U (12 March 2020); https://doi.org/10.1117/12.2549957

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