基于二代小波的矿井通风机故障诊断应用研究  

Study on application of fault diagnosis for mine ventilators based on the second generation wavelet

作　　者：王惠才[1] 行志刚[2] 

机构地区：[1]平顶山工业职业技术学院,河南平顶山467001 [2]河南理工大学机械厂

出　　处：《矿山机械》2010年第17期33-36,共4页Mining & Processing Equipment

摘　　要：阐述了二代小波的原理和实现方法;研究了基于Lagrange插值细分法的预测算子和更新算子的求解方法,并利用预测算子和更新算子构造出了尺度函数和小波函数;最后,将二代小波及Lagrange插值细分法应用于矿用通风机的故障诊断中,对风机振动信号进行降噪分析,并成功地提取了风机的故障特征信息,为煤矿设备故障诊断提供了一种有效的方法。The principle and programming method of the second generation wavelet were described. Moreover, on the basis of lagrange interpolatory subdivision, the solution method of operators prediction and updating were studied, then these operators were used to build scaling functions and wavelet functions. Finally, the second generation wavelet and lagrange interpolatory subdivision algorithm were applied to the fault diagnosis for mine ventilators. The ventilator vibration signal was processed with the second generation wavelet to eliminate noise, and the fault features of mine ventilator were extracted successfully, which provides an effective method of diagnosing the fault of colliery equipments.

关 键 词：矿用通风机 故障诊断 二代小波 Lagrange插值细分 

分 类 号：TD441[矿业工程—矿山机电]