Seismic Recording Using A Mode Localized MEMS Accelerometer

Milind Pandit, Chun Zhao, Guillermo Sobreviela, Xudong Zou, Ashwin A. Seshia

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper reports the first demonstration of a mode localized resonant accelerometer (MLRXL) as a seismometer. The prototype sensor demonstrates a noise floor of 4.5μg/√Hz at a defined operating point corresponding to an amplitude ratio of 1.22. The device situated in Cambridge, UK recorded an earthquake of magnitude 3.8 with the epicenter at Grimsby, UK on the 9th of June, 2018. This measurement demonstrates the potential for mode localized MEMS accelerometers to be utilized for seismic applications with comparable performance to existing seismometers, with particular relevance to long-period measurements.

Original languageEnglish
Title of host publication2019 20th International Conference on Solid-State Sensors, Actuators and Microsystems and Eurosensors XXXIII, TRANSDUCERS 2019 and EUROSENSORS XXXIII
PublisherIEEE
Pages2150-2153
Number of pages4
ISBN (Electronic)9781728120072
DOIs
Publication statusPublished - 22 Aug 2019
Event20th International Conference on Solid-State Sensors, Actuators and Microsystems and Eurosensors XXXIII, TRANSDUCERS 2019 and EUROSENSORS XXXIII - Berlin, Germany
Duration: 23 Jun 201927 Jun 2019

Publication series

Name2019 20th International Conference on Solid-State Sensors, Actuators and Microsystems and Eurosensors XXXIII, TRANSDUCERS 2019 and EUROSENSORS XXXIII

Conference

Conference20th International Conference on Solid-State Sensors, Actuators and Microsystems and Eurosensors XXXIII, TRANSDUCERS 2019 and EUROSENSORS XXXIII
Country/TerritoryGermany
CityBerlin
Period23/06/1927/06/19

Bibliographical note

Funding Information:
This work is supported by funding from Innovate UK and Natural Environment Research Council.

Publisher Copyright:
© 2019 IEEE.

Keywords

  • Accelerometer
  • Bias Stability
  • Common mode rejection
  • Mode Localization
  • Noise
  • Sensitivity

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