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Position Insensitive Crack Monitoring by Passive Wireless Sensor

The uneven distribution of the field inside a resonator, which is determined by the intrinsic mode, causes a sensitivity variation with respect to the defect location. This challenges the practical application of passive wireless sensors enabled by antennas or dielectric resonators. In this paper, a machine learning method is applied for feature extraction, aiming to suppress the crack position induced sensitivity variation. Compared with the resonant frequency, the selected coefficient of the second principal component shows better robustness.