宁夏大学学报（自然科学版）Issue(2)：141-143,3.
模拟退火算法与支持向量机在机械故障诊断中的应用
The Application on the Simulated Annealing Algorithm and the Support Vector Machines in Mechanical Fault Diagnosis
摘要
Abstract
To improve the classification accuracy of the support vector machine (SVM)in mechanical fault diagnosis,the simulated annealing algorithm and the support vector machine (SVM)is combined.First, the kernel parameters for SVM are optimized by using the simulated annealing algorithm.Then the fault feature is inputted into the support vector machines with the best kernel parameters for fault identification. The experimental result shows that the method,compared with the traditional support vector machine, can obtain higher diagnosis accuracy with fewer features.关键词
支持向量机/模拟退火算法/故障诊断/参数优化Key words
support vector machine/simulated annealing algorithms/fault diagnosis/parameter optimiza-tion分类
信息技术与安全科学引用本文复制引用
纪华,马伏龙..模拟退火算法与支持向量机在机械故障诊断中的应用[J].宁夏大学学报（自然科学版）,2014,(2):141-143,3.基金项目
宁夏大学科学研究基金资助项目((E)ndzr09-33) （(E）
宁夏自然科学基金资助项目(NZ0919) （NZ0919）
