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基于支持向量机的提升机制动系统故障诊断
引用本文:郭小荟,马小平. 基于支持向量机的提升机制动系统故障诊断[J]. 中国矿业大学学报, 2006, 35(6): 813-817
作者姓名:郭小荟  马小平
作者单位:1. 中国矿业大学,信息与电气工程学院,江苏,徐州,221116;徐州师范大学,计算机科学与技术学院,江苏,徐州,221116
2. 中国矿业大学,信息与电气工程学院,江苏,徐州,221116
摘    要:针对提升机制动系统中常见的卡缸故障,利用支持向量机(SVM)这一新的机器学习方法进行智能诊断.在某一闸系统正常时获得2组信号,卡缸时获得6组信号,采用3层小渡包对闸瓦间隙-时间信号进行分解,以各频带的能量为元素构造特征向量,形成故障诊断样本,在Matlab6.5环境下用SVM工具箱进行编程,建立SVM故障分类器并时测试样本进行测试,从而实现提升机制动系统卡缸故障诊断.实验结果表明,在不到0.1S时间内,就建立了SVM故障分类器,该分类器对测试样本的诊断正确率达到了100%;当训练样本由6组减少至4组时,SVM故障分类器仍可以有效地实现对卡缸故障的诊断.因此,SVM方法对于少样本的故障诊断有较强的适应性,非常适合于矿井提升机这种安全运行要求很高,但又不具备大量故障样本的系统.

关 键 词:小波包  支持向量机  提升机  制动系统  故障诊断
文章编号:1000-1964(2006)06-0813-05
收稿时间:2006-01-15
修稿时间:2006-01-15

Mine Hoist Braking System Fault Diagnosis Based on a Support Vector Machine
GUO Xiao-hui,MA Xiao-ping. Mine Hoist Braking System Fault Diagnosis Based on a Support Vector Machine[J]. Journal of China University of Mining & Technology, 2006, 35(6): 813-817
Authors:GUO Xiao-hui  MA Xiao-ping
Abstract:The blockage piston in cylinder, a typical fault of mine hoist braking system, was intelligently diagnosed with a support vector machine(SVM) method. Gathering two sets of signals while in normal working and six sets of signals while in blockage piston in cylinder, using a wavelet package of 3 levels to decompose signal curves of brake distance-time, and construct feature vectors with the energy of all individually frequency bands signal, and form the fault diagnosis samples. Based on SVM toolbox in Matlab6. 5 system, SVM fault classifier was constructed for testing samples and the blockage piston in cylinder fault diagnosis was completed. Experimental results show that the SVM fault classifier was constructed within 0. 1 second and the testing samples diagnosis correct rate of this classifier is up to 100%. It can also effectively accomplish the blockage piston fault diagnosis of braking system when the training samples are decreased from 6 sets to 4 sets. Hence, the SVM method has a high adaptability for fault diagnosis in the case of smaller number of samples and is especially suitable for mine hoist.
Keywords:wavelet packet    support vector machine   mine hoist   braking system    fault diagnosis
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