基于舍一交叉验证优化最小二乘支持向量机的故障诊断模型

李 锋;汤宝平;章国稳

振动与冲击 ›› 2010, Vol. 29 ›› Issue (9) : 170-174.

PDF(1317 KB)
PDF(1317 KB)
振动与冲击 ›› 2010, Vol. 29 ›› Issue (9) : 170-174.
论文

基于舍一交叉验证优化最小二乘支持向量机的故障诊断模型

  • 李 锋;汤宝平;章国稳
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FAULT DIAGNOSIS MODEL BASED ON LEAST SQUARE SUPPORT VECTOR MACHINE OPTIMIZED BY LEAVE-ONE-OUT CROSS-VALIDATION

  • LI Feng;TANG Bao-Ping;ZHANG Guo-Wen
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摘要

提出一种基于舍一交叉验证优化最小二乘支持向量机(LS-SVM)的旋转机械故障诊断模型。首先将故障信号EMD分解为平稳IMF分量,再选择表征故障调制特征的IMF分量并构造瞬时幅值欧式范数作为故障特征矢量输入到舍一交叉验证(leave-one-outcross-validation, LOO-CV)优化线性核LS-SVM中进行故障识别。EMD分解可自适应分离故障调制信号;瞬时幅值欧式范数矢量的不同表征各类故障的差异;舍一交叉验证优化惩罚因子可以使线性核LS-SVM克服对故障类型与模式编号映射关系先验知识的依赖,提高LS-SVM的故障预测精度和自适应诊断能力。一个深沟球轴承故障诊断实例说明该模型的有效性。

Abstract

A new fault diagnosis model is proposed based on Least square support vector machine(LS-SVM) optimized by Leave-one-out cross-validation: firstly, fault vibration signals are decomposed into several stationary IMFs, then the instantaneous amplitude L2-norms of the IMFs which have fault modulation characteristics are computed and regarded as the input characteristic vector of lin-kernel LS-SVM optimized by Leave-one-out cross-validation for fault classification. EMD decomposition adaptively isolates fault modulation signals from original signals. The differences among instantaneous amplitude L2-norm vectors reflect different fault type. Adopting Leave-one-out cross-validation to optimize punish parameter can not only enhance fault prediction accuracy of LS-SVM which adopts lin-kernel, but also improve adaptive diagnosis capacity of LS-SVM. The deep groove ball bearings fault diagnosis example proves the effectivity of this new model.

关键词

瞬时幅值欧式范数 最小二乘支持向量机 舍一交叉验证 参数优化 故障诊断

Key words

Instantaneous amplitude L2-norm / Least square support vector machine / Leave-one-out cross-validation / Parameter optimization / Fault diagnosis

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导出引用
李 锋;汤宝平;章国稳. 基于舍一交叉验证优化最小二乘支持向量机的故障诊断模型[J]. 振动与冲击, 2010, 29(9): 170-174
LI Feng;TANG Bao-Ping;ZHANG Guo-Wen. FAULT DIAGNOSIS MODEL BASED ON LEAST SQUARE SUPPORT VECTOR MACHINE OPTIMIZED BY LEAVE-ONE-OUT CROSS-VALIDATION[J]. Journal of Vibration and Shock, 2010, 29(9): 170-174

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