Thermal and vibration smart monitoring and outage prevention

A thermal and vibration smart monitoring system for electrical distribution equipment, the electrical distribution equipment including one or more rigid electric load carrying components, the system comprising:

• a plurality of sensors configured to provide sensor data, the sensor data comprising temperature data associated with the one or more rigid electric load carrying components;
• a diagnostics processor receiving and responsive to the sensor data and to load data, the load data representative of an electrical load of the electrical distribution equipment;
• and
• a memory coupled to the diagnostics processor, the memory storing processor-executable instructions that, when executed, configure the diagnostics processor for:
• processing the sensor data initially received from the sensors and the load data as inputs to a trained machine learning model to predict a response to the electrical load;
• processing the sensor data subsequently received from the sensors during operation of the electrical load and the load data to determine whether the sensor data subsequently received from the sensors significantly deviates from the predicted response to the electrical load;
• and
• generating a notification based on the determination.

An electrical distribution system comprising:

• one or more rigid electric load carrying components configured for supplying power to an electrical load;
• a plurality of sensors configured to provide sensor data, the sensor data comprising temperature data associated with the one or more rigid electric load carrying components;
• a diagnostics processor receiving and responsive to the sensor data and to load data, the load data representative of the electrical load;
• and
• a memory coupled to the diagnostics processor, the memory storing a machine learned model that, when executed by the diagnostics processor:
• processes the sensor data initially received from the sensors and the load data as inputs to the machine learned model to predict a response to the electrical load;
• processes the sensor data subsequently received from the sensors during operation of the electrical load and the load data to determine whether the sensor data subsequently received from the sensors significantly deviates from the predicted response to the electrical load;
• and
• causes a notification to be generated based on the prediction.