计算技术与自动化2013，Vol.32Issue(1)：28-31,4.
基于纹理单元分布的硫浮选过程病态工况检测
Fault Condition Detection for Sulfur Flotation Process Based on Texture Unit Distribution
摘要
Abstract
Considering the difficulty to detect the fault condition of sulfur flotation in real-time, a new fault detect method based on probability density function (PDF) of froth texture unit is proposed. The froth texture unit is used to describe the froth texture features to avoid that the gray level dependence matrix can not describe the froth texture features accurately. By means of the designed kernel method,the PDF is transformed into dynamic weight coefficients, based on which a principal component analysis (PCA) model is established. And the T2 statistical quantities based on PCA model can be used as a threshold criterion to realize the fault condition detection in sulfur flotation process. Simulation results show the effectiveness of this algorithm by using actual running data from the sulfur flotation process of zinc direct leaching hydrometallurgy.关键词
纹理单元/核密度估计/主元模型Key words
texture units/ kernel estimator/ principal component analysis model分类
信息技术与安全科学引用本文复制引用
凌弈秋,阳春华,何明芳,桂卫华..基于纹理单元分布的硫浮选过程病态工况检测[J].计算技术与自动化,2013,32(1):28-31,4.基金项目
国家杰出青年科学基金项目(61025015) （61025015）
国家自然科学基金重点项目(61134006) （61134006）
国家科技支撑计划项目资助(2012BAF03B05) （2012BAF03B05）
