Paper
3 June 2016 3D MEMS sensor for application on earthquakes early detection and Nowcast
Jerry Wu, Jing Liang, Harold Szu
Author Affiliations +
Abstract
This paper presents a 3D Microelectromechanical systems (MEMS) sensor system to quickly and reliably identify the precursors that precede every earthquake. When a precursor is detected and is expected to be followed by a major earthquake, the sensor system will analyze and determine the magnitude of the earthquake. This newly proposed 3D MEMS sensor can provide P-waves, S-waves, and surface waves along with timing measurements to a data processing unit. The out coming data is processed and filtered continuously by a set of proposed built-in programmable Digital Signal Process (DSP) filters in order to remove noise and other disturbances and determine an earthquake pattern. Our goal is to reliably initiate an alarm before the arrival of the destructive waves. Keywords:
© (2016) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jerry Wu, Jing Liang, and Harold Szu "3D MEMS sensor for application on earthquakes early detection and Nowcast", Proc. SPIE 9871, Sensing and Analysis Technologies for Biomedical and Cognitive Applications 2016, 98710X (3 June 2016); https://doi.org/10.1117/12.2239983
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Cited by 1 scholarly publication and 1 patent.
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KEYWORDS
Earthquakes

Microelectromechanical systems

Sensors

Digital signal processing

Gyroscopes

Signal processing

Filtering (signal processing)

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