https://orcid.org/0000-0002-0315-7287
Abstract
Traditional conductance fluctuation signal recognition methods are difficult to realize multiresolution recognition, resulting in low recognition accuracy and efficiency. Therefore, a new conductance fluctuation signal recognition method of fiber Bragg grating sensor is proposed in this paper. Firstly, the conductance fluctuation signal of fiber Bragg grating sensor is extracted by wavelet transform; secondly, the conductance fluctuation signal is segmented by autocorrelation function to realize the five-level wavelet decomposition of conductance fluctuation signal; finally, the tower algorithm is used to realize the multiresolution identification of conductance fluctuation signal, and the identification of conductance fluctuation signal of fiber Bragg grating sensor is realized. In order to verify the effectiveness of this method, a comparative experiment is designed. The results show that this method can effectively improve the accuracy of signal feature recognition and reduce the time and delay of signal feature recognition.
Issue Section:
Technical Papers
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