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研究利用小波变换提取过程检测信号的频带分布特征，并提出一种新的模式分类算法用于对提取的特征归纳分类，并将分类结果用于实际过程的工况监测.应用实例研究证实了所提方法的可行性和有效性．
In this paper, the distribution characteristics of the detection signal using the wavelet transform extraction process are studied, and a new pattern classification algorithm is proposed to classify the extracted features and to apply the classification results to the actual process condition monitoring. Mention the feasibility and effectiveness of the method.