基于WSVM的软测量算法应用研究

为了克服污水处理过程中随机干扰严重影响软测量效果的不足,基于支持向量机(SVM)核方法和小波多分辨率理论,提出了一种多分辨率小波核支持向量机的机器学习方法,并应用于对污水处理过程水质参数的软测量中.利用支持向量回归机与参数特性混合建模,实现了对BOD浓度与COD浓度的在线软测量.仿真结果表明:应用该软测量技术能较好地克...

Soft sensor study and application based on WSVM

In order to solve the problem associated with random disturbance in the process of soft sensor on wastewater disposal process,a new method called support vector machine（SVM） with multi-resolution wavelet kernel function was presented.A soft measure of BOD COD on soft sensors model of wastewater treatment process control parameters was achieved by using a rare way of building a mixed model based on SVM and parameters＇ traits.The experimental results indicate that the soft measure can overcome a series of problems through the process of sewage disposal,such as random interfere,strong nonlinearity,big time change,serious lag,and so on.Therefore,this method will create conditions for getting parameters on-line and make wastewater disposal automatically.