Abstract
The control chart is in uncertain abnormal state when the plotted-point is close to the critical value,or the number of points is close to the prescriptive target,or there is concurrence of many abnormities.The traditional methods are hard to complete the pattern recognition.Considering the concurrence of trend pattern and cycle pattern,the original control chart signal was decomposed by wavelets.The different abnormal signals were reconstructed with appropriate wavelet coefficients.By curve fitting,the goodness of fit to the reconstruction wavelets was taken as the characteristic number of abnormal pattern.Then the occurrence degrees of uncertain patterns were calculated by inputting the characteristic numbers into membership function of corresponding patterns.The simulation model of this approach was developed under Matlab/Simulik.Finally,an application example was given and the result shows the feasibility of this approach.
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