Method for monitoring the electric insulation status of a piece of equipment for MV or HV electric systems

A computer program, which is stored in a non-transitory storage medium, comprising software instructions configured to be implemented by a processor to

• acquire detection data indicative of a behaviour of a piece of equipment, said detection data including a time sequence of measured discharge values related to partial-discharge events observed at subsequent observation instants in time;
• based on said detection data, calculating stochastic data indicative of an electric insulation status of said piece of equipment, said stochastic data including probability values related to the observed partial-discharge events and calculated as a function of one or more characteristic parameters related to said partial-discharge events;
• based on said stochastic data, calculate estimated data indicative of said one or more characteristic parameters related to said subsequent observation instants,
• wherein calculating estimated data further comprises calculating, for one or more pairs of partial-discharge events, each observed at consecutive first and second observation instants, one or more estimated values of the one or more characteristic parameters basing on combined conditional probability values calculated for the one or more pairs of partial-discharge events.

A computerized device or platform comprising:

• a processor configured to execute software instructions stored in a non-transitory storage medium to implement the following:
• acquire detection data indicative of a behaviour of a piece of equipment, said detection data including a time sequence of measured discharge values related to partial-discharge events observed at subsequent observation instants in time;
• based on said detection data, calculating stochastic data indicative of an electric insulation status of said piece of equipment, said stochastic data including probability values related to the observed partial-discharge events and calculated as a function of one or more characteristic parameters related to said partial-discharge events;
• based on said stochastic data, calculate estimated data indicative of said one or more characteristic parameters related to said subsequent observation instants,
• wherein calculating estimated data further comprises calculating, for one or more pairs of partial-discharge events, each observed at consecutive first and second observation instants, one or more estimated values of the one or more characteristic parameters basing on combined conditional probability values calculated for the one or more pairs of partial-discharge events.