基于LM-BP神经网络的液压支架顶梁疲劳寿命预测及应用
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摘要
本文提出基于LM-BP神经网络进行液压支架顶梁疲劳寿命预测方法,选取主筋板厚度、柱窝上方中心处横板厚度、两侧横板厚度、导向套筒孔半径、顶板厚度作为输入参量,将样本的液压支架顶梁疲劳寿命作为输出量,在进行训练时采用LM算法对BP神经网络进行改进,得到基于LM的BP神经网络模型,利用该模型进行液压支架顶梁疲劳寿命预测。研究结果表明:基于LM的BP神经网络模型的计算结果与测试样本拟合精度较高,具有广泛的应用前景。
The method for predicting the fatigue life of hydraulic support roof beam is presented based on LM-BP neural network in this paper.The main stiffener thickness,the thickness of the transverse plate above the center of the column socket,the thickness of the transverse plates on both sides,the radius of the guide sleeve hole and the thickness of the roof are selected as input parameters,the fatigue life of the sample hydraulic support roof beam is taken as output,LM algorithm is used to improve BP neural network in training,and a BP neural network model based on LM is obtained.The model is used to predict the fatigue life of hydraulic support roof beam.The results show that the fitting accuracy of the BP neural network model based on LM is high,and it has wide application prospects.
The method for predicting the fatigue life of hydraulic support roof beam is presented based on LM-BP neural network in this paper.The main stiffener thickness,the thickness of the transverse plate above the center of the column socket,the thickness of the transverse plates on both sides,the radius of the guide sleeve hole and the thickness of the roof are selected as input parameters,the fatigue life of the sample hydraulic support roof beam is taken as output,LM algorithm is used to improve BP neural network in training,and a BP neural network model based on LM is obtained.The model is used to predict the fatigue life of hydraulic support roof beam.The results show that the fitting accuracy of the BP neural network model based on LM is high,and it has wide application prospects.
引文
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[13]王邦祥,陆金桂,王京涛,等.神经网络近似模型在液压支架顶梁轻量化设计中的应用[J].轻工学报,2018,33(2):87-94.WANG Bangxiang,LU Jingui,WANG Jingtao,et al.Application of neural network approximate model in lightweight design of hydraulic support top beam[J].Journal of Light Industry,2018,33(2):87-94.
[14]苟晓明.煤矿用液压支架的轻量化设计与研究[D].重庆:重庆理工大学,2014.
[2]赵东波,陆金桂,姚灵灵,等.在役液压支架部件剩余寿命估算[J].工矿自动化,2017,43(10):89-93.ZHAO Dongbo,LU Jingui,YAO Lingling,et al.Residual life estimation of component of hydraulic support in service[J].Industry and Mine Automation,2017,43(10):89-93.
[3]刘俭辉,王生楠,黄新春,等.基于损伤力学-临界面法预估多轴疲劳寿命[J].机械工程学报,2015,51(20):120-127.LIU Jianhui,WANG Shengnan,HUANG Xinchun,et al.Multiaxial fatigue life prediction based on damage mechanics and critical plane method[J].Journal of Mechanical Engineering,2015,51(20):120-127.
[4]凌骏,吴峰崎,周邵萍.基于有限元分析与有效应力强度因子幅的起重机寿命预估[J].华东理工大学学报:自然科学版,2015,41(3):424-428.LING Jun,WU Fengqi,ZHOU Shaoping.Life prediction of crane based on finite element analysis and effective stress intensity factor range[J].Journal of East China University of Science and Technology:Natural Science Edition,2015,41(3):424-428.
[5]白春玉,牟让科,马君峰,等.多轴应力响应下结构振动疲劳寿命预估的时域方法研究[J].机械科学与技术,2013,32(2):289-293.BAI Chunyu,MU Rangke,MA Junfeng,et al.Time domain analysis for the estimation of structure vibration fatigue life under multiaxial stress responses[J].Mechanical Science and Technology for Aerospace Engineering,2013,32(2):289-293.
[6]龚宇,赵挺生,缪幸圆.液压支架双伸缩立柱力学及疲劳寿命计算[J].煤矿机械,2013,34(12):15-17.GONG Yu,ZHAO Tingsheng,MIAO Xingyuan.Fatigue life analysis of double telescopic leg of hydraulic support[J].Coal Mine Machinery,2013,34(12):15-17.
[7]郑晓雯,张衡,刘金龙,等.基于有限元法液压支架的疲劳寿命分析[J].矿山机械,2010,38(17):7-10.ZHENG Xiaowen,ZHANG Heng,LIU Jinlong,et al.Fatigue life analysis of hydraulic support based on FEM[J].Mining and Processing Equipment,2010,38(17):7-10.
[8]孙权,刘混举,李博.浅埋深工作面液压支架疲劳寿命分析[J].机械工程与自动化,2015(5):131-132.SUN Quan,LIU Hunju,LI Bo.Fatigue life analysis of hydraulic support in coal mining face with shallow mining depth[J].Mechanical Engineering&Automation,2015(5):131-132.
[9]徐坚,张勤.液压支架横梁全寿命疲劳分析[J].郑州铁路职业技术学院学报,2013,25(3):5-6,10.XU Jian,ZHANG Qin.Life-cycle fatigue analysis of hydraulic support cross beam[J].Journal of Zhengzhou Railway Vocational&Technical College,2013,25(3):5-6,10.
[10]张小丽,陈雪峰,李兵,等.机械重大装备寿命预测综述[J].机械工程学报,2011,47(11):100-116.ZHANG Xiaoli,CHEN Xuefeng,LI Bing,et al.Review of life prediction for mechanical major equipment[J].Journal of Mechanical Engineering,2011,47(11):100-116.
[11]刘婷,张铎,周源泉,等.产品寿命预测[J].强度与环境,2007(4):58-64.LIU Ting,ZHANG Duo,ZHOU Yuanquan,et al.Survey of product life prediction[J].Structure&Environment Engineering,2007(4):58-64.
[12]王京涛,陆金桂,朱正权,等.液压支架疲劳寿命近似估算[J].工矿自动化,2017,43(3):39-42.WANG Jingtao,LU Jingui,ZHU Zhengquan,et al.Approximate estimation of fatigue life of hydraulic support[J].Industry and Mine Automation,2017,43(3):39-42.
[13]王邦祥,陆金桂,王京涛,等.神经网络近似模型在液压支架顶梁轻量化设计中的应用[J].轻工学报,2018,33(2):87-94.WANG Bangxiang,LU Jingui,WANG Jingtao,et al.Application of neural network approximate model in lightweight design of hydraulic support top beam[J].Journal of Light Industry,2018,33(2):87-94.
[14]苟晓明.煤矿用液压支架的轻量化设计与研究[D].重庆:重庆理工大学,2014.