A Field Self-Adjusting Method for Electrochemical Seismometer Based on Dynamic Feedback Network
Based on the dynamic force feedback network, a fast self-adjusting method with field working ability is designed for the electrochemical seismometer. Dynamic feedback network provides the characteristics of adaptability in complex environments for the seismometer. And the reusage of feedback source...
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Veröffentlicht in: | IEEE sensors journal 2022-03, Vol.22 (5), p.4224-4234 |
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Format: | Artikel |
Sprache: | eng |
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Zusammenfassung: | Based on the dynamic force feedback network, a fast self-adjusting method with field working ability is designed for the electrochemical seismometer. Dynamic feedback network provides the characteristics of adaptability in complex environments for the seismometer. And the reusage of feedback source provides a very low-cost self-testing ability without a laboratory environment or any external equipment. To implement this method, an analytical adjusting algorithm is derived. The simulation shows the adjusting adaptability for arbitrary targets and multiple electrochemical seismometers. A prototype is developed to verify the method, the prototype can be adjusted to the optimal second-order system under arbitrarily cutoff frequency between 0.5Hz and 1Hz, and the self-adjusting process finished within 10 minutes. |
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ISSN: | 1530-437X 1558-1748 |
DOI: | 10.1109/JSEN.2022.3145154 |