Fault Characteristics and Recovery-Time Analysis of Networked Seismic Sensors Using Automated SIMORA Monitoring Logs

Abstract

Operational status logs can be used to describe recurring fault records and observed recovery intervals in networked seismic monitoring. This retrospective log analysis examined 168 fault-status records collected through SIMORA monitoring from 2 to 15 June 2026. Three pairs of same-sensor, same-incident GAP-to-OFF records were consolidated, producing 165 sensor-level fault events involving 34 sensor IDs represented in the fault log. Recovery duration was defined as the interval between the automated detection timestamp and the recorded recovery timestamp; 12 events without recovery timestamps were reported separately and were not imputed. Final status was GAP for 131 events (79.4%) and OFF for 34 events (20.6%). Among complete cases, median recovery was 91 seconds (Q1-Q3: 45-195 seconds; n=121) for GAP and 4,938 seconds (Q1-Q3: 2,505-15,058 seconds; n=32) for OFF. BMJR contributed 89 events (53.9%); excluding it increased median GAP recovery from 91 to 446 seconds. The results describe fault-event concentration and recovery patterns in the observed logs but do not estimate system failure rates or identify physical causes. Longer monitoring and exposure data are required for reliability-rate estimation and causal diagnosis.