Abstract: For the complex process of Statistical Quality Control（SQC），the concurrent of various abnormity is ordinary.However，the traditional rule-based methods and Artificial Neural Networks（ANNs） technique can only recognize the single pattern.In this paper，a hybrid method is developed through the combination of wavelet analysis and ANNs.By wavelet decomposition and reconstruction，the concurrent abnormal patterns can be decomposed into different basic patterns.Without being trained by concurrent abnormal patterns samples，the ANNs will effectively recognize the concurrent patterns by taking the decomposed patterns as input.