Online monitoring and state-of-health estimation of circuit breakers using data analysis and AI

The integration of fluctuating renewable energy has restricted maintenance windows for circuit breakers, necessitating real-time condition monitoring to prevent unexpected failures. By utilizing EMC-immune fiber-optic sensors alongside conventional electrical and environmental inputs, we capture high-resolution vibration spectra across critical phases (closing, spring charging, and opening). These signals reveal vital diagnostics, including motor timing, torque dynamics, and load-dependent frequency variations, which are essential for identifying subtle physical behavioural changes.