The large generator faults are mostly from the stator insulation, which is aged by exposure to a combination of thermal, electrical,\r\nmechanical, and harsh environment stresses. Condition evaluation of stator insulation is an important measure of ensuring the\r\nsafe operation and extending the remaining life of large generator. In this paper, a diagnosis method based on the partial discharge\r\n(PD) measurement was used for the condition evaluation of the stator insulation. The statistical parameters of partial discharge\r\nphase resolved distribution were proposed to assess the aging condition of stator insulation. A partial least square (PLS) approach\r\nwas used to explore and extract relationships between the statistical parameters of partial discharge distribution with physical\r\nproperties and performance such as electrical breakdown strength. Results of the PD testing and statistical analysis show that the\r\nstatistical parameter Sk extent of partial discharge distribution changes much more remarkably with the aging time than do the\r\nother parameters.Thestatistical parameter Sk can be considered as a potential indicator of stator insulation aging.The PLS approach\r\ncan effectively assess the stator insulation aging condition and can provide a predictive capability for the stator insulation diagnosis.
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