Digitalization of medium voltage switchgears for asset management and predictive maintenance

This paper presents a device to assess the condition of a medium voltage switchgear by measuring multiple variables without disrupting their primary function. All the collected data is processed by using a health index model based on experimental statistical data, and the resulting information is displayed on an interface where the user can interact to know the expected health of the switchgear or each internal component. The acquisition of such information offers benefits such as reduced need for on-site inspections and tests, ultimately lowering maintenance costs and preventing failures.