Abnormal Pattern Parameters Estimation of Control Chart Based on Wavelet Transform and Probabilistic Neural Network

The general framework of combining wavelet transform with PNN was presented, and applied in abnormal pattern parameters estimation of control chart. The simulation results show that the performance of the proposed method has many advantages, such as simple structure, quick convergence, higher recognition rate, which can be used in the abnormal patterns parameter estimation of control chart.