Electrical circuit breaker event detection

A method of detecting electrical circuit breaker events, comprising:

• receiving Electrical Circuit Breaker (ECB) handle data from a sensor;
• generating an encoded motion vector with one or more motion characteristics from the received ECB handle motion data;
• generating a probability distribution of ECB events from the encoded motion vector and the one or more motion characteristics using a trained Machine Learning (ML) model;
• generating a prediction of an electrical breaker movement event based on the generated probability distribution of ECB events by identifying an ECB event with the highest probability from the trained ML model;
• and
• transmitting a signal upon determining the predicted electrical breaker movement event has occurred.

An apparatus to detect electrical circuit breaker events, comprising:

• a processor;
• and
• a non-transitory computer-readable memory containing computer program code that, when executed by operation of the processor, performs operations comprising:
• receiving Electrical Circuit Breaker (ECB) handle motion data from a sensor;
• generating an encoded motion vector using one or more motion characteristics from the received ECB handle motion data;
• generating a prediction of an electrical breaker movement event based on a probability distribution of ECB events by identifying an ECB event with the highest probability from a trained ML model;
• and
• transmitting a signal, upon determining the predicted electrical breaker movement event has occurred.