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Power Quality Disturbance Data Compression, Detection, and Classification Using Integrated Spline Wavelet and S-Transform

In this paper power quality transient data are compressed and stored for analysis and classification purpose. From the compressed data set origtnal data are reconstructed and then analysed using a modified wavelet transform known as transform. Compression techniques using splines are performed through signal decomposition, thresholding of wavelet transform coefficients, and signal reconstruction. Finally we present compression results using splines and examine the application of splines compression in power quality monitoring to mitigate against data communication and data storage problems. Since Stransform has better time frequency and localisation property. power quality disturbances are detected and then classified in a superior way than the recently used wavelet transform.