MULTIDOMAIN WAVEFORM ANALYSIS FOR SOH-PROXY DEVELOPMENT IN SEISMIC DIGITIZERS BASED ON MINISEED DATA USING ANOMALY DETECTION AND PROXY-PPSD
Umara Firman Rizi D 1,a), Imam Fachruddin 1), Santoso Soekirno 1), Djati Handoko 1), Benyamin Heryanto Rusanto 2), I Putu Putra Wira Sarwa Yudha 3), Martarizal 1,b) Please Just Try to Submit This Sample Abstract

Universitas Indonesia


Abstract

Seismic digitizers generally do not provide internal telemetry for continuous monitoring of instrumental health conditions. As a result, degradation is often identified only after waveform quality deteriorates or instrument failure occurs. This study proposes DigiHealth, a passive waveform-based predictive maintenance framework that utilizes MiniSEED data to construct a State of Health Proxy (SOH-Proxy) for seismic digitizers without requiring additional sensors or hardware telemetry. The framework performs waveform preprocessing, temporal segmentation, multidomain feature extraction, and anomaly detection using a robust Median Absolute Deviation (MAD) approach. Spectral stability is evaluated using a Proxy-Probabilistic Power Spectral Density (Proxy-PPSD) representation derived from waveform behavior. The anomaly score is then transformed into a continuous SOH-Proxy index to represent instrumental degradation. Experimental results at station SWCM-SHZ show that anomaly scores increased progressively before digitizer replacement, followed by a significant decrease in SOH-Proxy values toward critical conditions. After replacement, anomaly scores decreased while SOH-Proxy values increased, indicating recovery of instrumental stability. The proposed framework also distinguishes no-data conditions from actual instrument failure without replacing waveform gaps with artificial zero values. These results demonstrate that MiniSEED waveform data can be utilized not only for seismic-event analysis but also as passive indicators of digitizer health to support predictive maintenance in seismic monitoring networks.

Keywords: MiniSEED, SOH-Proxy, Predictive Maintenance, Proxy-PPSD, Seismic Digitizer, Anomaly DetectionPlease Just Try to Submit This Sample Abstract

Topic: Instrumentation and Computational Physics

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