本文選題：煤炭開采 + 采煤機��； 參考：《工礦自動化》2017年01期

【摘要】：在基于煤巖截割振動信號分析的煤巖界面識別過程中,針對常規(guī)時頻域分析方法對噪聲敏感、振動信號能量變化適應(yīng)性差等問題,提出一種基于倒譜距離的采煤機煤巖截割振動信號識別方法。通過分析振動傳感器采集的采煤機不同負載狀況下的截割振動信號,得出結(jié)論:與采煤機割巖狀態(tài)相比,割煤狀態(tài)下得到的振動信號與空載狀態(tài)下的標準信號的倒譜距離更大;割巖狀態(tài)下振動信號的倒譜距離呈明顯的周期性,且周期為滾筒旋轉(zhuǎn)1周的時間,而割煤狀態(tài)下的振動信號無此特征。工業(yè)試驗結(jié)果表明,該方法在煤巖硬度差大于10 MPa時,識別準確率達75%。
[Abstract]:In the process of coal and rock interface recognition based on the analysis of coal and rock cutting vibration signal, the conventional time-frequency domain analysis method is sensitive to noise and the adaptability of vibration signal energy change is poor. A method based on cepstrum distance for vibration signal recognition of coal cutting in coal mining machine is proposed. By analyzing the cutting vibration signals of shearer under different load conditions collected by vibration sensor, it is concluded that the cepstrum distance between the vibration signals obtained in coal cutting state and the standard signals in no-load state is larger than that in cutting rock state of shearer. The cepstrum distance of vibration signal in the state of rock cutting is obviously periodic, and the period is that the drum rotates for one week, but the vibration signal under the condition of coal cutting has no such characteristic. The industrial test results show that the recognition accuracy of this method is 75 when the hardness difference of coal and rock is more than 10 MPa.
【作者單位】： 中煤科工集團上海研究院;天地科技股份有限公司上海分公司;
【基金】：天地科技技術(shù)創(chuàng)新基金資助項目(KJ-2015-TDSH-01)
【分類號】：TD421.6
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本文編號：1892274