中国农业科学院农业信息研究所 中国农学会
Agricultural Information Institute of CAAS China Association of Agricultural Science Societies
En
Ch
中国农业科学院农业信息研究所 中国农学会 主办

AI检索

订阅

返回顶部
当前位置: 首页 > 文章 > 车辆变速器故障诊断的Shannon熵研究 农业机械学报 2002,33 (1) 85-88
Position: Home > Articles > Exploration of Shannon Entropy for Fault Diagnosis of Vehicle Gearbox Transactions of the Chinese Society for Agricultural Machinery 2002,33 (1) 85-88

车辆变速器故障诊断的Shannon熵研究

作  者：
张文炬;苏清祖
单  位：
合肥工业大学机械与汽车学院;江苏大学汽车学院
关键词：
车辆;变速装置;Shannon熵;故障诊断
摘  要：
利用小波分析技术和信息科学原理 ,建立了机械故障诊断的 Shannon熵分析模型。对车辆变速器的故障诊断进行研究 ,将测试信号进行多层小波分解与重构 ,计算各层重构信号的 Shannon熵值及其熵和 ,并进行图形显示和分析 ,获得其运行状态特性并进行故障诊断 ,为机械故障诊断提供了新的理论和方法
译  名：
Exploration of Shannon Entropy for Fault Diagnosis of Vehicle Gearbox
作  者：
Zhang Wenju(Hefei University of Technology) Su Qingzu(Jiangsu University)
关键词：
Vehicles, Speed changing devices, Shannon entropy, Fault diagnosis
摘  要：
The mathematical model of Shannon entropy for machine fault diagnosis using the information theory and wavelet analysis method was explored in this paper. The fault diagnosis of a gearbox was studied with this Shannon entropy analysis method. Multi level wavelet decomposition of a gearbox vibrating signal was performed, the wavelet coefficients of each level were calculated, the signal of each level from the wavelet coefficients was reconstructed, and the Shannon entropy of each level reconstructive signal and their sum of each sample time period was estimated. The running state of a gearbox was investigated with these Shannon entropies. As a result, the fault of a gearbox was diagnosed easily. This Shannon entropy analysis method that is a new model and method of machine fault diagnosis is feasible.

相似文章

导出引用
计量
文章访问数: 6
HTML全文浏览量: 0
PDF下载量: 0

所属期刊

推荐期刊

友情链接Friendly link
农业信息研究所Agricultural information institute 农业智能知识服务平台Agricultural intelligent knowledge service platform 农业学术服务平台Agricultural Knowledge Service System 中国知网CNKI 维普网VIP 万方WANFANG DATA
联系我们Contact us

电话Tell：010-82109652-808

邮箱E-mail：agrijournal@caas.cn

服务Service
关于我们About us 意见建议Opinions and suggest
版权说明Copyright
单位：中国农业科学院农业信息研究所 中国农学会 © 2017中国农业科学院农业信息研究所 ICP备案号：京ICP备09089781号-46