基于频谱分析的煤矿螺旋滚筒洗煤机故障振动诊断  

Fault Vibration Diagnosis of Coal Mine Spiral Drum Coal Washing Machine Based on Spectrum Analysis

作　　者：张彪 Zhang Biao(Henan Technician Institute of Industry and information Technology,Zhengzhou 451199,China)

机构地区：[1]河南工业和信息化技师学院,郑州451199

出　　处：《煤矿机械》2024年第11期175-179,共5页Coal Mine Machinery

摘　　要：洗煤过程一个多因素、多参数相互耦合的复杂过程,会对洗煤机的两轴产生干扰,使两轴出现不同心问题,使洗煤机联轴器出现故障,导致出现振动现象。为及时发现和解决设备故障、避免因设备故障导致的生产停滞和产品质量下降,提出基于频谱分析的煤矿螺旋滚筒洗煤机故障振动诊断方法。该方法利用最小熵解卷积、小波去噪及自回归线性预测对不同种类的煤矿螺旋滚筒洗煤机振动信号特征实施增强处理,加强洗煤机振动信号,使之更加清晰可辨,凸显其故障特征。在此基础上,对振动信号进行频谱分析,获得信号的时域波动,从而更直观地观察振动信号的频谱特征,克服振动信号非线性和非平稳行的特点,实现精准的煤矿螺旋滚筒洗煤机故障振动诊断。实验结果表明,该方法的异常振动信号频谱分析能力强,能够精准诊断不同故障。The coal washing process is a complex process with multiple factors and parameters coupled to each other,which can cause interference on the two axes of the coal washing machine,resulting in non concentricity issues and failure of the coal washing machine coupling,leading to vibration phenomena.In order to timely detect and solve equipment faults,avoid production stagnation and product quality degradation caused by equipment faults,a fault vibration diagnosis method for coal mine spiral drum coal washing machine based on spectrum analysis was proposed.This method utilizes minimum entropy deconvolution,wavelet denoising and autoregressive linear prediction to enhance the vibration signal characteristics of different types of coal mine spiral drum coal washing machine,strengthen the vibration signal of the coal washing machine,make the vibration signal clearer and more identifiable,and highlight the characteristics of its faults.On this basis,frequency spectrum analysis was carried out on the vibration signal to obtain the time-domain fluctuation of the signal,so as to more intuitively observe the spectral characteristics of the vibration signal,overcome the non-linear and non-stationary characteristics of the vibration signal,and achieve accurate fault vibration diagnosis of the coal mine spiral drum coal washing machine.The experimental results show that this method has strong spectral analysis ability for abnormal vibration signal and can accurately diagnose different faults.

关 键 词：频谱分析 最小熵解卷积 螺旋滚筒洗煤机 故障振动诊断 小波去噪 

分 类 号：TD45[矿业工程—矿山机电]