A system for power quality (PQ) disturbance (event) analysis under noisy environment is proposed in this paper using wavelet feature (WF) based fuzzy classification method. In practice, the captured signals are often corrupted by noise and also the non- linear and non-stationary behavior of PQ events due to various switching devices make the detection and classification of PQ events is more cumbersome. To extract features in power-quality disturbance, the energy distribution of wavelet at each decomposition level is calculated for varieties of PQ events. These includes voltage sag, swell, momentary interruption, notch are considered to test the performance of proposed approach.
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