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Subject: search.filters.subject.MEMS

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    PublicationOpen Access
    Development of a MEMS-based Earthquake Dataset using the Raspberry Shake Network in New Zealand
    (Sri Lanka Institute of Information Technology, 2026-05-21) Samiha, T.Z; Ravishan, D
    Traditional seismic monitoring is often limited by the high cost of instrumentation and logistical barriers, hindering the expansion of earthquake monitoring networks especially in under-resourced regions. Low-cost MEMS-based sensors offer a scalable alternative, but require specialized datasets to train machine learning models adapted to their unique noise characteristics and sensitivity profiles. To address this, we systematically collected waveforms from approximately 4,000 earthquakes (magnitude 2.7 to the highest recorded) recorded across 89 Raspberry Shake stations in New Zealand from 2020–2025. Events were matched to nearby stations based on epicentral distance criteria (100 km for M 2.7–5.5, 150 km for M>5.5). A staged filtering pipeline using PhaseNet, EQTransformer, and GPD models, cross-validated with theoretical TauP arrivals, was applied to ensure phase pick quality across three confidence tiers. The final curated dataset comprises 918 high-confidence waveforms with validated P and S wave arrivals, alongside approximately 16,035 total waveform records spanning all quality tiers. This dataset addresses the critical scarcity of labeled training data for low-cost seismic instrumentation, enabling the development of phase pickers specifically calibrated for MEMS sensors.
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    Low-Cost, High-Precision Vibration Analysis: Enhancing SHM and Seismic Data Acquisition Systems
    (Institute of Electrical and Electronics Engineers Inc., 2025) Sashik, D; Iddamalgoda, A; Manchanayake, N; Prasanna, R; Abeygunawardhana, P.K.W
    The development of a low-frequency vibration detection device is essential for testing vibrations in crucial applications such as structural integrity, seismic activity detection and industrial machinery maintenance. Current data acquisition systems suffer from lack of sensitivity and high cost. This paper presents the design and development of a low-cost vibration detection device that uses a 3-axis accelerometer and a geophone with a resonant frequency of 4.5 Hz, where the signals are filtered using a second order low-pass filter with a 250 Hz cutoff frequency. The device is integrated with a 24-bit analog to digital (ADC) converter for ensuring a precise data acquisition and the device ensures to monitor real-time vibrations of x, y and z axis using a accelerometer and the z axis with a geophone. The effectiveness of the device was validated via experimental simulations. This developed device is a solid and cost-effective solution for engineers and professionals, where reliable low-frequency vibration monitoring is required in critical applications.