基于支持向量机的故障诊断方法
Fault Diagnosis Based on Spport Vector Machines
通过对支持向量机原理的分析，将凸壳理论用于基于支持向量机的故障诊断中，用凸壳顶点集来代替整个样本集来训练，运用实际数据进行仿真，仿真结果表明，本文方法在学习性能和推广性能方面与采用整个样本集基本相同，但降低了存储空间，提高了学习速度。
hrough the analysis of SVM principle,convex hull theory based on support vector machines is used for the fault diagnosis, with acme-set of convex hull replacing the entire sample set to train, then,use actual data to do the simulation,the simulation results show that this method has the same Performance as learning by the entire sample set,but reduces the storage space and improves the learning speed.
冀香雅、杨鹏、郑媛媛
计算技术、计算机技术
支持向量机故障诊断凸壳
support vector machinefault diagnosisconvex hull
冀香雅,杨鹏,郑媛媛.基于支持向量机的故障诊断方法[EB/OL].(2008-05-06)[2025-07-16].http://www.paper.edu.cn/releasepaper/content/200805-101.点此复制
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