Vibration signal identification of coal-rock cutting of shearer based on cepstral distance
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摘要: 在基于煤岩截割振动信号分析的煤岩界面识别过程中，针对常规时频域分析方法对噪声敏感、振动信号能量变化适应性差等问题，提出一种基于倒谱距离的采煤机煤岩截割振动信号识别方法。通过分析振动传感器采集的采煤机不同负载状况下的截割振动信号，得出结论：与采煤机割岩状态相比，割煤状态下得到的振动信号与空载状态下的标准信号的倒谱距离更大；割岩状态下振动信号的倒谱距离呈明显的周期性，且周期为滚筒旋转1周的时间，而割煤状态下的振动信号无此特征。工业试验结果表明，该方法在煤岩硬度差大于10 MPa时，识别准确率达75%。Abstract: In order to solve problems that conventional time-frequency domain analysis methods were sensitive to noise and had poor adaptability of energy change in coal-rock interface identification based on vibration signal analysis, a vibration signal identification method of coal-rock cutting of shearer based on cepstral distance was proposed. By analyzing cutting vibration signals of shearer acquired by vibration sensor under different load conditions, following conclusions are gotten. Compared with condition of cutting rock, the cepstral distance between vibration signal under condition of cutting coal and standard signal under no load condition is larger. The cepstral distance of the vibration signal under condition of rock cutting is obviously periodic, and the cycle is one rotation cycle of shearer drum, while the vibration signal under condition of cutting coal has no periodic feature. The industrial test result shows that the method has identification accuracy of 75% when hardness difference between coal and rock is more than 10 MPa.
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Keywords:
- coal mining /
- shearer /
- coal-rock identification /
- vibration signal /
- cepstral distance
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期刊类型引用(4)
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