节点文献
基于人工蜂群算法的矿用减速器可靠性寿命预测的研究
Research on Reliability Life Prediction of Mine Reducer Based on Artificial Bee Colony Algorithm
【作者】 杨洁;
【作者基本信息】 西安科技大学 , 仪器仪表工程(专业学位), 2017, 硕士
【摘要】 科技发展迅速,工业设备趋于智能化。采煤作业的机电设备,其自动化、人机结合的程度日益明显。矿用减速器作为主要的动力设备,其具有降低转速、增大转矩等作用。它在破碎机、提升机、刮板输送机、采煤机以及掘进机等设备中是不可缺失的。当其出现故障时,与它相连的设备会受到严重影响,甚至导致采煤系统的瘫痪。因此,在当前形势下预测并分析矿用减速器的可靠性寿命显得尤为重要。本文以矿用减速器为研究对象,分析其可靠性寿命及其研究意义。在广泛了解可靠性寿命研究的国内外现状、以后的发展方向及目前在设备中的应用分析上,提出了矿用减速器的可靠性寿命预测的研究。首先,从可靠性以及寿命理论方面对矿用减速器进行了可靠性框图的建立,进而建立了矿用减速器的可靠性寿命分布模型。其次,对矿用减速器的可靠性寿命分布模型进行分析,确定的Weibull分布模型的参数采用一般的最小二乘法进行估算,但由于故障数据的随机性,且线性估计存在一定的误差,结果并不理想。最后,针对此问题提出采用人工蜂群算法对其可靠性寿命分布模型的参数进行优化。并以某选定型号的矿用减速器为实际的研究对象,对其故障数据进行处理后并与其给定的技术参数进行比较,实例证明该算法可以应用在矿用减速器可靠性寿命预测的研究中。
【Abstract】 With the rapid development of science and technology,industrial equipment tends to be intelligent.The degree of automation and man-machine integration of the mechanical and electrical equipment of the coal mining operation is more and more obvious.As the main power equipment,the reducer has the function of reducing speed and increasing torque.It cannot be lost in the crusher,elevator,scraper conveyor,coal mining machine,and other equipment.When the mine reducer fault occurs,the equipment connected to it will be serious influence,and even lead to paralysis of the coal mining system.Therefore,it is very important to predict and analyze the reliability life of the reducer in the current situation.In this thesis,the reliability of the mine reducer is analyzed,and its significance is researched.On the basis of a comprehensive understanding of the current situation home and abroad,future development and application of the reliability life analysis,the paper puts forward the reliability life prediction of the mine reducer.Firstly,the reliability block diagram of the mine reducer is established from the aspect of reliability and life theory,and the reliability life distribution model of the mine reducer is built.Secondly,the reliability life distribution model of the mine reducer is analyzed,the parameter of definite Weibull distribution model is generally determined by using the least square method to estimate,but due to the randomness of fault data and linear estimation have a certain error,the result is not ideal.Finally,the artificial bee colony algorithm is used to optimize the parameters of the model of the reliability life distribution model for this problem.Taking a mine reducer selected models as the actual research object and processing the fault data,the calculated data compare with the technical parameters,the results prove that the algorithm can be used in the reliability life prediction of mine reducer.
【Key words】 Mine Reducer; Reliability; Life Prediction; Artificial Bee Colony Algorithm; Weibull Distribution;