计算机与数字工程2017，Vol.45Issue(6)：1025-1028,4.DOI:10.3969/j.issn.1672-9722.2017.06.003
一种基于半监督流形学习的抽油机故障诊断方法
Pumping Unit Fault Diagnosis Method Based on Semi-supervised Manifold Learning
摘要
Abstract
According to indicator diagram of known samples in actual production of oil is deficient,A semi supervised recogni?tion method based on manifold learning is proposed. Low-dimensional feature space can be obtained using manifold learning algo?rithm by labeled and unlabeled sample data to the data collected for feature extraction. It can achieve the purpose of fault diagnosis in the low-dimensional feature space for fault pattern classification,and achieve good effect in practical application.关键词
示功图/半监督/流形学习/识别Key words
indicator diagram/semi-supervised/manifold learning/distinguish分类
信息技术与安全科学引用本文复制引用
赵万平..一种基于半监督流形学习的抽油机故障诊断方法[J].计算机与数字工程,2017,45(6):1025-1028,4.基金项目
国家自然科学基金项目"基于集成学习的生物医学文本信息抽取方法研究"(编号:61402099)资助. （编号:61402099）
