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小波变换在生产过程监测中的应用

APPLICATION OF WAVELET TRANSFORM TO PROCESS MONITORING

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【作者】 赵众顾幸生蒋慰孙

【Author】 Zhao Zhong;Gu Xingsheng;Jiang Weisun(Research Institute of Automation,ECUST,Shanghai 200237)

【机构】 清华大学自动化系!华东理工大学自动化研究所上海200237华东理工大学自动化研究所!上海200237

【摘要】 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.

【Abstract】 The problem of process monitoring was defined by using the principle of pattem recognition.After the analysis of time-frequency character of discrete wavelet transform,a means to extract the features of frequency band in real process measurement siwgnals based on discrete wavelet transform was stru ied.Meanwhile a new pattem classification algorithm was proposed to induce the relationship of the extracted features and corresponding process conditions.The induction result was applied to process monitoring,which verified the feasibility and effectiveness of the method.

【基金】 国家自然科学基金!No.29576232
  • 【文献出处】 化工学报 ,Journal of Chemical Industry and Engineering(China) , 编辑部邮箱 ,1998年06期
  • 【分类号】TQ02
  • 【被引频次】7
  • 【下载频次】67
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