云模型在齿轮健康状态评估中的应用研究  

Research on the Application of Cloud Model in Gear Health Condition Assessment

作　　者：雷从英[1] 夏良华[1] 郝晋峰[1] 

机构地区：[1]军械工程学院,河北石家庄050003

出　　处：《机械传动》2013年第12期22-26,共5页Journal of Mechanical Transmission

摘　　要：传统的齿轮故障诊断及状态评估建立在对典型故障机理的研究和特征提取的基础上,往往忽视温度、湿度、PH值等环境因素对齿轮可靠运行带来的影响。同时,即便在考虑环境因素的一些健康状态评估方法中,也存在处理定性语言描述的环境因素时受到很大主观因素干扰的问题,影响了评估的准确性。针对以上问题,引入云模型,对定性的环境因素语言描述进行定量不确定性转换,建立了基于云模型的齿轮健康状态评估模型,使其更符合实际情况,通过案例验证了该方法的实用效果。Traditional gear fault diagnosis and condition assessment methods are based on the research of typical fault causes and feature extraction. Though environment factors such as temperature, humidity, PH value, and so on may bring great influence on the gear running reliability, most of those traditional methods ignore them. What＇ s more, in some newly methods which involved environment factors find it difficult while dealing with qualitative information, because they bring subjectivity in the method. So, the veracity of assessment and diagnosis are weaken. To solve those problems, the cloud model is taken into consider. Using the cloud model, a health condition assessment model is built up, and the qualitative information is transformed into quantitative information. In this way, the assessment method is more close to the actual situation. At last, a case is brought out to test the practicality of the assessment model.

关 键 词：云模型 齿轮 健康状态评估 

分 类 号：TH132.41[机械工程—机械制造及自动化]