Assessment of power system equipment for equipment maintenance and/or risk mitigation

A system for predicting a health of power system equipment, comprising:

• a historian data repository configured to receive, over time, sensor data yielded from one or more sensors operably coupled to the power system equipment to create historical sensor data and configured to receive, over time, field test data yielded from one or more field tests performed on the power system equipment to create historical field test data;
• and
• a machine learning component configured to generate a health profile of the power system equipment using the historical sensor data and the historical field test data, the health profile indicative of a predicted health of the power system equipment.

A computer readable medium comprising processor executable instructions that when executed perform a method for assessing power system equipment to predict a health of the power system equipment, the method comprising:

• acquiring historical sensor data yielded from one or more sensors operably coupled to the power system equipment, the historical sensor data indicative of one or more sensor measurements taken over a first time interval;
• acquiring historical field test data yielded from one or more field tests performed on the power system equipment, the historical field test data indicative of one or more field test measurements taken over a second time interval;
• using the historical sensor data and the historical field test data to generate a health profile of the power system equipment, the health profile indicative of a predicted health of the power system equipment.