本文選題：罐道典型故障　切入點：模式識別　出處：《中國礦業(yè)大學》2015年碩士論文　論文類型：學位論文

【摘要】：隨著煤礦生產(chǎn)年限的增加,剛性罐道會出現(xiàn)接頭錯位、局部凸起、整體傾斜等典型故障。罐道的狀態(tài)對礦井提升系統(tǒng)工作的穩(wěn)定性和安全性有著十分重要的影響。因此,優(yōu)化立井剛性罐道的測試方法,對采集得到的信號提取故障特征參數(shù),選擇有效的方法對罐道的典型故障進行模式識別研究對提升機安全運行具有重要意義。本論文建立了提升鋼絲繩-提升容器及剛性罐道-提升容器的動力學模型并進行仿真分析,在實驗室環(huán)境下模擬了剛性罐道的典型故障,采用小波變換模極大值及經(jīng)驗模態(tài)分解的方法提取了罐道故障的特征向量,最后利用支持向量機法完成了立井剛性罐道典型故障的模式識別研究。具體內(nèi)容包括:1)建立了提升鋼絲繩-提升容器的垂直振動模型,分析了鋼絲繩動位移對提升容器垂直方向加速度的影響;建立了提升容器水平方向多自由度動力學模型,利用Matlab的Simulink功能對典型故障下的輸出響應進行了仿真,對提升容器振動加速度幅值的影響因素進行了分析;2)構(gòu)建了基于虛擬儀器技術(shù)的剛性罐道典型故障信號的測試系統(tǒng),分別設(shè)置了正常狀態(tài)、接頭錯位、局部凸起及罐道傾斜故障,在不同實驗對比條件下采集了提升容器的振動響應信號和傾角輸出信號;3)采用自適應冗余第二代小波軟閾值函數(shù)對振動信號進行降噪處理,針對采集信號的具體特征,對提升容器的振動響應信號采用小波變換模極大值和包絡(luò)分析法提取故障特征,對提升容器的傾角輸出信號采用經(jīng)驗模態(tài)分解法取其趨勢項作為故障特征;4)以剛性罐道典型故障的四種模式:正常狀態(tài)、接頭錯位、局部凸起及整體傾斜為對象,采用支持向量機的方法進行模式識別研究,獲得各狀態(tài)下模式識別的識別率。對識別的結(jié)果進行分析總結(jié),說明該方法能夠有效地實現(xiàn)立井剛性罐道典型故障的模式識別。
[Abstract]:With the increase of coal mine production life, typical faults such as joint dislocation, local protruding and integral tilt will appear in rigid tank path. The state of tank path has a very important effect on the stability and safety of mine hoisting system. The test method of shaft rigid tank channel is optimized, and fault characteristic parameters are extracted from the collected signals. It is of great significance to select effective methods for pattern recognition of typical faults of tank path for safe operation of hoist. In this paper, the dynamic models of hoisting wire rope hoisting vessel and rigid canal-lift vessel are established. And carry on the simulation analysis, The typical faults of the rigid tank track are simulated in the laboratory environment. The eigenvector of the fault is extracted by using the wavelet transform modulus maximum and empirical mode decomposition method. Finally, the support vector machine (SVM) method is used to complete the research on the pattern recognition of the typical faults of the shaft rigid tank path. The specific contents include: 1) the vertical vibration model of the hoisting wire rope and lifting vessel is established. The influence of wire rope dynamic displacement on vertical acceleration of hoisting vessel is analyzed, and the dynamic model of horizontal multi-degree-of-freedom (MDOF) of hoisting vessel is established, and the output response of typical fault is simulated by using Simulink function of Matlab. The influence factors of vibration acceleration amplitude of hoisting vessel are analyzed. (2) A test system of typical fault signal of rigid tank track based on virtual instrument technology is constructed, and the normal state and dislocation of joint are set up respectively. The vibration response signal and dip output signal of the lifting vessel are collected under different experimental conditions. The adaptive redundant second generation wavelet soft threshold function is used to reduce the noise of the vibration signal. According to the specific characteristics of the collected signal, the wavelet transform modulus maximum and envelope analysis are used to extract the fault features of the vibration response signal of the lifting vessel. Empirical mode decomposition (EMD) method is adopted to analyze the output signal of inclined angle of lifting vessel. The four modes of typical faults of rigid tank track are taken as its trend term. The object is normal state, dislocation of joint, local protruding and overall tilt. Support vector machine (SVM) is used to study pattern recognition, and the recognition rate of pattern recognition is obtained. The results of recognition are analyzed and summarized, which shows that this method can effectively realize the pattern recognition of typical faults of vertical shaft rigid tank track.
【學位授予單位】：中國礦業(yè)大學
【學位級別】：碩士
【學位授予年份】：2015
【分類號】：TD531

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本文編號：1651395