针对生产过程的特点 ,对过程工况区域识别问题进行了描述 ,在分析小波变换的基础上 ,研究了利用小波变换的多尺度分析特性 ,提取生产过程检测信号的多尺度定性变化特征 ,并分析和证明了提取的工况区域特征具有描述工况区域的稳定性和完备性。在此基础上 ,结合模式归纳分类算法 ,提出了一种基于小波变换的工况区域识别方法。应用实例研究 ,证实了所提方法的可行性和有效性 Based on the analysis of wavelet transform, the multiscale analysis features of wavelet transform are studied, and the characteristics of multi-scale qualitative change of the detection signal in the production process are extracted and analyzed according to the characteristics of the production process. And proved that the extracted features of the working area have the stability and completeness of describing the working area. Based on this, combined with pattern induction algorithm, a new method based on wavelet transform is proposed. The application example research proves the feasibility and effectiveness of the proposed method