摘要
根据油罐故障分析,建立了油罐故障诊断模型。采用新型的支持向量机-最小二乘向量机(LS-SVM)的算法对此诊断模型进行预测,获得了满意的效果。该方法易于使用,很少受不确定性因素的影响,有很高的预测准确性。
According to analysis for oilcau diagnosis, and the model for oilcan trouble diagnosis is built. Using new Support Vector Machine - Least Square Support vector Machine(LS-SVM)to predict this diagnosis model is satisfied, The method is prone to use, it is seldom affected by uncertain factor and higher veracity in forecast.
出处
《软件导刊》
2009年第1期35-37,共3页
Software Guide
基金
国家自然科学基金资助项目(59774006)
关键词
油罐故障
诊断
最小二乘支持向量机
Oilcan Malfuncition
Diagnosis
Least Square Support Vector Regression