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How Well Can We Extract the Permanent Displacement from Low-Cost MEMS Accelerometers?
Following the recent establishment of a high-density seismic network equipped with low-cost micro-electro-mechanical system (MEMS) P-wave-alert-device (P-Alert) by the earthquake early warning (EEW) research group at the National Taiwan University, a large quantity of strong-motion records from mode...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5713158/ https://www.ncbi.nlm.nih.gov/pubmed/29144409 http://dx.doi.org/10.3390/s17112643 |
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author | Jan, Jyh Cherng Chao, Wei-An Wu, Yih-Min Chen, Chien-Chih Lin, Cheng-Horng |
author_facet | Jan, Jyh Cherng Chao, Wei-An Wu, Yih-Min Chen, Chien-Chih Lin, Cheng-Horng |
author_sort | Jan, Jyh Cherng |
collection | PubMed |
description | Following the recent establishment of a high-density seismic network equipped with low-cost micro-electro-mechanical system (MEMS) P-wave-alert-device (P-Alert) by the earthquake early warning (EEW) research group at the National Taiwan University, a large quantity of strong-motion records from moderate-magnitude earthquakes (M(L) > 6) around Taiwan has been accumulated. Using a data preprocessing scheme to recover the dynamic average embedded within the P-Alert data, we adopted an automatic baseline correction approach for the P-Alert accelerograms to determine the coseismic deformation (Cd). Comparisons between the Cd values determined using global positioning system (GPS) data, strong-motion records from the P-Alert network, and data from the Taiwan Strong Motion Instrumentation Program (TSMIP) demonstrates that the near-real-time determination of Cd values (>2 cm), which provide crucial information for seismic hazard mitigation, is possible using records from low-cost MEMS accelerometers. |
format | Online Article Text |
id | pubmed-5713158 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-57131582017-12-07 How Well Can We Extract the Permanent Displacement from Low-Cost MEMS Accelerometers? Jan, Jyh Cherng Chao, Wei-An Wu, Yih-Min Chen, Chien-Chih Lin, Cheng-Horng Sensors (Basel) Article Following the recent establishment of a high-density seismic network equipped with low-cost micro-electro-mechanical system (MEMS) P-wave-alert-device (P-Alert) by the earthquake early warning (EEW) research group at the National Taiwan University, a large quantity of strong-motion records from moderate-magnitude earthquakes (M(L) > 6) around Taiwan has been accumulated. Using a data preprocessing scheme to recover the dynamic average embedded within the P-Alert data, we adopted an automatic baseline correction approach for the P-Alert accelerograms to determine the coseismic deformation (Cd). Comparisons between the Cd values determined using global positioning system (GPS) data, strong-motion records from the P-Alert network, and data from the Taiwan Strong Motion Instrumentation Program (TSMIP) demonstrates that the near-real-time determination of Cd values (>2 cm), which provide crucial information for seismic hazard mitigation, is possible using records from low-cost MEMS accelerometers. MDPI 2017-11-16 /pmc/articles/PMC5713158/ /pubmed/29144409 http://dx.doi.org/10.3390/s17112643 Text en © 2017 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Jan, Jyh Cherng Chao, Wei-An Wu, Yih-Min Chen, Chien-Chih Lin, Cheng-Horng How Well Can We Extract the Permanent Displacement from Low-Cost MEMS Accelerometers? |
title | How Well Can We Extract the Permanent Displacement from Low-Cost MEMS Accelerometers? |
title_full | How Well Can We Extract the Permanent Displacement from Low-Cost MEMS Accelerometers? |
title_fullStr | How Well Can We Extract the Permanent Displacement from Low-Cost MEMS Accelerometers? |
title_full_unstemmed | How Well Can We Extract the Permanent Displacement from Low-Cost MEMS Accelerometers? |
title_short | How Well Can We Extract the Permanent Displacement from Low-Cost MEMS Accelerometers? |
title_sort | how well can we extract the permanent displacement from low-cost mems accelerometers? |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5713158/ https://www.ncbi.nlm.nih.gov/pubmed/29144409 http://dx.doi.org/10.3390/s17112643 |
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