节点文献
基于小波变换的生产过程监测
Process Monitoring Based on Wavelet Transform
【摘要】 研究利用小波变换提取过程检测信号的频带分布及定性变化特征,并提出一种新的模式分类算法用于对提取的信号特征归纳分类。应用实例证实了所提出方法的可行性和有效性。
【Abstract】 A method to extract the features of frequency band and qualitative trend in real process measurement signals based on wavelet transform was studied. A new pattern classification algorithm was proposed to induce the relationships of the extracted features and corresponding process conditions. The application results have proved the feasibility and effectiveness of the method.
【关键词】 小波变换;
过程监测;
特征提取;
模式分类;
【Key words】 wavelet transform; process monitoring; feature extraction; pattern classification;
【Key words】 wavelet transform; process monitoring; feature extraction; pattern classification;
【基金】 国家自然科学基金
- 【文献出处】 控制与决策 ,CONTROL AND DECISION , 编辑部邮箱 ,1999年01期
- 【分类号】TP277
- 【被引频次】9
- 【下载频次】59