A signal processing technology for simulated turbine blades

被引：1

作者：

Jiang, Jing ^{[1
]}

Duan, Ying ^{[1
]}

Zhang, Zezhan ^{[1
]}

Yu, Peifeng ^{[1
]}

Gou, Xueke ^{[1
]}

Zhong, Yekui ^{[1
]}

Qiu, Anmei ^{[1
]}

Gao, Shan ^{[2
]}

Wang, Chao ^{[1
]}

机构：

[1] Univ Elect Sci & Technol China, Clean Energy Mat & Engn Ctr, Sch Elect Sci & Engn, State Key Lab Elect Thin Film & Integrated Device, Chengdu, Peoples R China

[2] Harbin Engn Univ, Sch Informat & Commun Engn, Harbin, Peoples R China

来源：

2019 INTERNATIONAL CONFERENCE ON OPTICAL INSTRUMENTS AND TECHNOLOGY: OPTOELECTRONIC IMAGING/SPECTROSCOPY AND SIGNAL PROCESSING TECHNOLOGY | 2020年 / 11438卷

关键词：

turbine blade; temperature measurement; signal processing; waveform segmentation; noise removal; calibration; temperature distribution reconstruction;

D O I：

10.1117/12.2549957

中图分类号：

TH7 [仪器、仪表];

学科分类号：

0804 ; 080401 ; 081102 ;

摘要：

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 4 degrees C at temperatures range from 550 degrees C to 1000 degrees C, providing valuable guidelines for condition monitoring and fault diagnosis.

引用

页数：12

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