A Novel Filtering Algorithm of Data Acquisition for Electrical Capacitance Tomography
On the basis of analyzing the filtering algorithm of ECT data acquisition system，according to the characteristics of Kalman filter and wavelet transform，a filtering algorithm based on the characteristics of Kalman filtering and wavelet transform is proposed about the acquisition accuracy and real-...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | zho |
| Published: |
Harbin University of Science and Technology Publications
2018-04-01
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| Series: | Journal of Harbin University of Science and Technology |
| Subjects: | |
| Online Access: | https://hlgxb.hrbust.edu.cn/#/digest?ArticleID=1499 |
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| Summary: | On the basis of analyzing the filtering algorithm of ECT data acquisition system，according to the
characteristics of Kalman filter and wavelet transform，a filtering algorithm based on the characteristics of Kalman
filtering and wavelet transform is proposed about the acquisition accuracy and real-time requirement of electrical
capacitance tomography ECT ( Electrical Capacitance Tomography) data acquisition system. This algorithm first
makes signal acquired data processed by multi wavelet to obtain stable observed data，then estimates the noise
statistics by noise statistical estimator to ensure the stability and convergence of the signal． Finally，cexe get the
signal more accurately by Kalman filtering. The simulation experiment results show that the proposed algorithm has
better denoising effect compared with the Kalman filter algorithm which can obtain the signal more precisely and
reliably and improve the data acquisition precision of ECT data acquisition system． It provides a novel filtering
method for ECT data acquisition system. |
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| ISSN: | 1007-2683 |