How combining First Trip Profiling, Remote Testing and machine. Learning in monitoring circuit breaker operations can result in a quantum leap in managing this critical asset.
This paper describes how capturing circuit breaker first trip data is the first step in finding out the true circuit breaker condition and avoiding customer interruptions due to slow trips. Then how the introduction of Remote Testing utilising Online Monitoring removes the need for a substation visit to test the circuit breaker thereby freeing up scarce resources. Finally, the application of Machine Learning enables large amounts of data to be analysed in real time and provide details of defects within the circuit breaker mechanical
and electrical systems. The classification of these defects within a Condition Group helps determines the necessary action to take.
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