煤矿机械齿轮和轴承故障诊断研究

• 作 者: 山红伟
• 机 构: 承德石油高等专科学校,
• 出 处: 科技致富向导
• 发表日期: 2015年17期
• 关键词: 轴承故障诊断 煤矿机械 齿轮减速箱 故障机理 神经网络 小波理论 齿轮振动 小波分析 频域分析方法 故障特征

煤矿机械齿轮和轴承故障诊断技术不仅要研究故障的类别及故障机理,还要研究故障诊断的方法 ,这也是故障诊断中最重要的一点。煤矿机械齿轮和轴承故障诊断的过程是一个极其复杂的过程,在诊断过程中需要利用很多的方法,即多种方法融合并用,不可能是单独的使用某一种方法。所以说,必须从各种学科中广泛探求有利于故障诊断的原理、方法和手段,这就使得煤矿机械齿轮和轴承故障诊断技术呈现多学科交叉这一特点。

Coal mine machinery gear and bearing fault diagnosis technology not only to study the type of fault and fault mechanism, but also to study the fault diagnosis method, which is the fault diagnosis of the most important point. The process of fault diagnosis of coal mine machinery gears and bearings is an extremely complicated process. In the process of diagnosis, many methods need to be used, that is, a plurality of methods are combined and used together, and it is impossible to use a certain method alone. Therefore, we must explore a wide range of disciplines in favor of fault diagnosis principles, methods and means, which makes the coal mine mechanical gear and bearing fault diagnosis technology presents a multi-disciplinary cross this feature.