| 基于双谱分布区域的齿轮聚类分析与故障诊断 |
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| 引用本文： | 李学军,蒋玲莉,杨大炼,等.基于双谱分布区域的齿轮聚类分析与故障诊断[J].振动工程学报,2011,24(3):304. |
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| 作者姓名： | 李学军 蒋玲莉 杨大炼 等 |
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| 作者单位： | 1. 湖南科技大学机械设备健康维护省重点实验室,湖南湘潭,411201
2. 湖南科技大学先进矿山装备教育部工程研究中心,湖南湘潭,411201 |
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| 基金项目： | 湖南省高校科技创新团队支持计划项目，教育部新世纪人才支持计划项目，湖南省自然科学基金重点资助项目，湖南省高校科技成果产业化培育资助项目 |
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| 摘 要： | 齿轮(尤其是故障齿轮)振动信号具有明显的非高斯性,双谱是分析非高斯信号的有效方法.齿轮不同故障模式振动信号双谱分析表明齿轮双谱分布区域与故障模式间存在映射关系,可作为分类特征.采用阈值化的双谱二值图作为特征向量,基于目标函数的聚类法实现分类与故障诊断.聚类过程以训练样本双谱二值图的逻辑与运算表征类间分布共性,逻辑或运算表征类间分布范围,构成类模板,测试样本与类模板距离最小值构造最近邻模板分类器,实现聚类,整个过程只是计算1的个数,简单、实用.齿轮故障诊断实例验证了该方法的有效性.
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| 关 键 词： | 故障诊断 齿轮 双谱 聚类分析 |
| 收稿时间： | 2010/3/31 0:00:00 |
| 修稿时间： | 2010/12/23 0:00:00 |
Cluster analysis and fault diagnosis for gear based on bispectrum distribution |
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| LI Xue-jun,JIANG Ling-li,YANG Da-lian,WANG Ke.Cluster analysis and fault diagnosis for gear based on bispectrum distribution[J].Journal of Vibration Engineering,2011,24(3):304. |
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| Authors: | LI Xue-jun JIANG Ling-li YANG Da-lian WANG Ke |
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| Affiliation: | LI Xue-jun1,JIANG Ling-li1,2,YANG Da-lian1,WANG Ke1(1.Hunan Provincial Key Laboratory of Health Maintenance for Mechanical Equipment,Hunan University of Science and Technology,Xiangtan 411201,China,2.Engineering Research Center of Advanced Mining Equipment,Ministry of Education,China) |
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| Abstract: | Gear vibration signals especially defective one present a strongly non-linear and non-Gauss behavior,and the bispectrum is well suitable to analyze this kind of signals.By performing the bispectrum analysis to gear vibration signal it is found that there is a mapping relation between the spectral distribution region and the gear fault model,so the bispectrum distribution can be used as a feature for classification.The binary images extracted from the bispectra were taken as the feature vectors,which were us... |
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| Keywords: | fault diagnosis gears bispectrum cluster analysis |
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