采煤机摇臂齿轮传动系统振源定位分析方法
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TH113.1; TB52+3

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(中国博士后基金资助项目(2015M582693);陕西省博士后科研资助项目(陕人设函[2014]907号 201406);陕西省教育厅专项科研计划资助项目(14JK1473)


Vibration Source Location Analysis Method for Ranging Arm Gear-Transmission System of Shearer
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    摘要:

    为了研究采煤机摇臂传动齿轮的振动分析方法并进行实机振源定位验证,首先,采用小波分析对采煤机摇臂振动信号进行降噪处理和频谱分析,依据特征频率下的振幅结果确定故障齿轮的啮合频率;然后,通过Morlet小波包络解调分析获取边频带信号频谱特征,依据边频带特征频率下的振幅结果确定故障齿轮的转动频率;最后,对频谱分析和Morlet小波包络解调分析的结果进行综合分析,锁定故障齿轮的准确位置。对一台国产采煤机摇臂齿轮传动系统进行了振动测试与信号分析,结果表明,基于小波分析、频谱分析和Morlet小波包络解调分析相结合的振动分析方法可以实现对采煤机摇臂故障齿轮的准确定位,为强噪声环境下复杂齿轮传动系统的故障快速定位和现场定点维修提供了方法支持。

    Abstract:

    The level of safety in the process of coal mine production is directly affected by vibration from the ranging arm in the gear transmission system of a shearer. It is thus essential to study the vibration analysis method and vibration source location technology for the ranging arm. First, the vibration signal is processed by wavelet analysis to reduce noise. Spectrum analysis is used, and the fault gear mesh frequencies are determined by the characteristic frequency amplitudes. Then, the sideband signal spectral characteristic is obtained using Morlet wavelet envelope demodulation analysis. The fault gear rotational frequencies are determined according to the amplitudes of the sideband signal spectral characteristic frequencies. Finally, the results of spectral analysis and Morlet wavelet envelope demodulation analysis are used to achieve the exact gear fault location. The vibration test and signal analysis are applied to a ranging arm in the gear transmission system of a homemade shearer. The results show that the proposed method based on wavelet analysis, spectral analysis and Morlet wavelet envelope demodulation analysis can achieve accurate location of a gear fault for the ranging arm of the shearer. It provides a method for on-site rapid fault location of a complex gear system under strong noise.

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  • 在线发布日期: 2016-07-06
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