Separation of multiple sources in PD measurements using an intensity based clustering algorithm

Purpose of the paper is to present an application of a newly developed intensity based clustering algorithm in separating pulsating signals due to multiple PD sources and noise. It is applied to signals projected into a time-frequency plane which preserve information on the signal shapes thus, signals having different shape are grouped differently in the map. By using the proposed approach, the number and the optimum border between different groups can be obtained and the original Phase Resolved PD pattern can be split into the same number of sub-patterns. The application of the proposed algorithm to data obtained testing stator bars are reported and discussed to show its validity.