Identification of power quality events using inverse properties of S transform

In the present paper identification of power quality events using inverse properties of Stockwell Transforms has been carried out. Identification of power quality problems using the classic Stockwell Transforms though is able to determine both sudden and gradual changes in the signal. However, for some typical cases the signatures are not unique and thereby lead to misinterpretation of the power quality problems. Consequently, a new method is proposed in the present paper to identify the various power quality problems. The technique uses the inverse properties of S-Transform for prediction and is very accurate and unique compared with the existing techniques as have been already reported in the literature. The results presented in the paper show the efficacy of the technique.