中国计量大学学报2017，Vol.28Issue(2)：190-195,6.DOI:10.3969/j.issn.2096-2835.2017.02.009
冷水机组故障诊断中重要特征的选择
Important features selection in fault diagnosis of chillers
摘要
Abstract
In the data-driven centralized air-conditioning system fault diagnosis process, feature selection is the essential pre-process.The selection of important features is meaningful to effective fault judgment.In this paper, different methods were used to select features from the fault data of a group of chillers.Support vector machines were used for classification with selected feature subsets.The most important feature subsets of chiller failures were obtained through comparative analysis.关键词
特征选择/遗传算法/ReliefF算法/支持向量机Key words
feature selection/genetic algorithm/ReliefF algorithm/support vector machine分类
信息技术与安全科学引用本文复制引用
马露露,严珂,陆慧娟..冷水机组故障诊断中重要特征的选择[J].中国计量大学学报,2017,28(2):190-195,6.基金项目
2015年浙江省重点学科建设科研启动费项目(No.000485). （No.000485）
