Wave shape recognition of spikes using MATLAB application in power quality analysis / Osaizam Izwan Othman

Power quality has become an issue of increasing interest since the late 1980s. The interest in PQ involves all three parties concerned with the power business: utility companies, equipment manufacturers, and electric power customers. This paper describes a method for recognition of spike disturbance by using the Learning Vector Quantization (LVQ) and Probabilistic Neural Network (PNN) incorporated with wavelet processing. The spike that occurs in the power supplies that cause voltage current or frequency deviations causing the malfunction of the user appliance is one of the major issues that have been experienced by the utility and consumer parties. The capabiUty of Wavelet to detect the spike is being exposed. The finally stage is to classify spike using the Learning Vector Quantization (LVQ) or Probabilisitc Neural Network (PNN) has being proposed. This paper would be guided for the using of the self-detecting and classification by using the MATLAB application in monitoring system.