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