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基于改进型球结构支持向量机的故障诊断方法及其应用
引用本文:袁胜发,褚福磊.基于改进型球结构支持向量机的故障诊断方法及其应用[J].推进技术,2006,27(1):1-4,47.
作者姓名:袁胜发  褚福磊
作者单位:1. 清华大学,精密仪器与机械学系,北京,100084;江西理工大学,机电工程学院,江西,赣州,341000
2. 清华大学,精密仪器与机械学系,北京,100084
基金项目:国家重点基础研究发展计划(973计划);教育部跨世纪优秀人才培养计划
摘    要:1引言涡轮泵等是极易发生故障的机械设备,近几年来,神经网络等智能技术在此类设备的故障诊断领域中得到广泛的应用1]。故障支持向量机是Vapnik等在20世纪90年代研究并迅速发展起来的一种新型的机器学习方法2],它是专门针对有限样本情况的,其目标是得到现有信息下的最优解而不

关 键 词:涡轮泵  故障诊断  球结构支持向量机    多类算法
文章编号:1001-4055(2006)01-0001-05
收稿时间:2005-02-12
修稿时间:2005-02-122005-06-19

Fault diagnosis based on improved sphere support vector machines
YUAN Sheng-fa and CHU Fu-lei.Fault diagnosis based on improved sphere support vector machines[J].Journal of Propulsion Technology,2006,27(1):1-4,47.
Authors:YUAN Sheng-fa and CHU Fu-lei
Institution:1. Dept. of Precision Instruments and Mechanology, Tsinghua Univ. , Beijing 100084, China; 2. School of Machinery and Power-generating Equipment Engineering, Jiangxi Univ. of Science and Technology, Ganzhou 341000, China
Abstract:Multi-category faults were common in turbo-pump and other machines. In order to speed up the multi-category faults diagnosis, an improved sphere support vector machine was proposed in this paper. The sizes of class spheres are fully taken into account, and better classification rules outside the spheres and in the intersections of the spheres are derivated by many theoretic analyses and experiments. This new method and several other normal methods are used in the diagnosis of simulated multi-category faults in turbo-pump. Results show that the diagnosis time is much shorter and the diagnosis correct rate is high with the improved sphere support vector machines.
Keywords:Turbine pump  Fault diagnosis  Sphere support vector machines  Multi-category
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