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Proceedings Paper

A signal processing technology for simulated turbine blades
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Paper 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.

Paper Details

Date Published: 12 March 2020
PDF: 12 pages
Proc. SPIE 11438, 2019 International Conference on Optical Instruments and Technology: Optoelectronic Imaging/Spectroscopy and Signal Processing Technology, 114380U (12 March 2020); doi: 10.1117/12.2549957
Show Author Affiliations
Jing Jiang, Univ. of Electronic Science and Technology of China (China)
Ying Duan, Univ. of Electronic Science and Technology of China (China)
Zezhan Zhang, Univ. of Electronic Science and Technology of China (China)
Peifeng Yu, Univ. of Electronic Science and Technology of China (China)
Xueke Gou, Univ. of Electronic Science and Technology of China (China)
Yekui Zhong, Univ. of Electronic Science and Technology of China (China)
Anmei Qiu, Univ. of Electronic Science and Technology of China (China)
Shan Gao, Harbin Engineering Univ. (China)
Chao Wang, Univ. of Electronic Science and Technology of China (China)


Published in SPIE Proceedings Vol. 11438:
2019 International Conference on Optical Instruments and Technology: Optoelectronic Imaging/Spectroscopy and Signal Processing Technology
Guohai Situ; Xun Cao; Wolfgang Osten, Editor(s)

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