[1]李威宏,童昕,李占福,等.集成学习在直线振动筛的应用及参数优化[J].华侨大学学报(自然科学版),2020,41(6):695-700.[doi:10.11830/ISSN.1000-5013.201912026]
 LI Weihong,TONG Xin,LI Zhanfu,et al.Application and Parameter Optimization of Ensemble Learning in Linear Vibrating Screen[J].Journal of Huaqiao University(Natural Science),2020,41(6):695-700.[doi:10.11830/ISSN.1000-5013.201912026]
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集成学习在直线振动筛的应用及参数优化()
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《华侨大学学报(自然科学版)》[ISSN:1000-5013/CN:35-1079/N]

卷:
第41卷
期数:
2020年第6期
页码:
695-700
栏目:
出版日期:
2020-11-20

文章信息/Info

Title:
Application and Parameter Optimization of Ensemble Learning in Linear Vibrating Screen
文章编号:
1000-5013(2020)06-0695-06
作者:
李威宏1 童昕12 李占福23 王耀坤1
1. 华侨大学 机电及自动化学院, 福建 厦门361021;2. 福建工程学院 福建省数字化装备重点实验室, 福建 福州 350108;3. 中建海峡建设发展有限公司, 福建 福州 350000
Author(s):
LI Weihong1 TONG Xin 12 LI Zhanfu23 WANG Yaokun1
1. College of Mechanical Engineering and Automation, Huaqiao University, Xiamen 361021, China; 2. Fujian Key Laboratory of Digital Equipment, Fujian University of Technology, Fuzhou 350108, China; 3. CSCEC Strait Construction and Development Limited Company, Fuzhou 350000, China
关键词:
振动筛 振动参数 离散元 筛分效率 集成学习
Keywords:
vibrating screen vibration parameters discrete element method screening efficiency ensemble learning
分类号:
TD452
DOI:
10.11830/ISSN.1000-5013.201912026
文献标志码:
A
摘要:
针对振幅、振动方向角、振频、筛长、筛孔、筛丝直径,及筛面倾角7个因素的不同水平,共设计442组实验方案,在EDEM软件中进行模拟仿真;结合集成学习的方法对所得的实验数据进行建模和综合分析,得出不同振动参数对筛分效率的影响权重.结果表明:筛面位于波谷和波峰时,筛上颗粒平均质心位置与筛网位置的距离不一样,当差值约为1.3倍的筛孔尺寸时,其筛分效果好,且对应的触筛角度值在12°~23°浮动.
Abstract:
Aiming at the different levels of amplitude, vibration direction angle, frequency, screen length, sieve pore, screen diameter and screen inclination angle, 442 groups of simulation experiments were designed using EDEM software. Combined with ensemble learning methods, the experimental data were modeled and comprehensively analyzed to obtain the affecting weights of different vibration parameters on the screening efficiency. The results showed that the distance between the average mass center of the particles on the screen and the screen was different when the screen surface was in trough and peak. When the difference between them was about 1.3 times of the sieve pore, the screening efficiency was high, and the corresponding contact angle of the screen fluctuated from 12° to 23°.

参考文献/References:

[1] 王新文,庞锟锋,于驰.改革开放以来我国振动筛分设备的发展[J].选煤技术,2019(1):37-42.DOI:10.16447/j.cnki.cpt.2019.01.007.
[2] 赵环帅.我国振动筛的市场现状及发展对策[J].矿山机械,2018,46(4):1-6.DOI:10.16816/j.cnki.ksjx.2018.04.001.
[3] XIAO Jianzhang,TONG Xin.Characteristics and efficiency of a new vibrating screen with a swing trace[J].Particuology,2013,11(5):601-606.DOI:10.1016/j.partic.2012.07.014.
[4] 汪洋,闫宏伟,马建强,等.直线筛筛网的空间运动轨迹计算及仿真[J].煤炭工程,2018,50(9):141-144.DOI:10.11799/ce201809036.
[5] ZHOU Haili,HU Zhanqi,CHEN Jigang,et al.Calibration of DEM models for irregular particles based on experimental design method and bulk experiments[J].Powder Technology,2018,332:210-223.DOI:10.1016/j.powtec.2018.03.064.
[6] 沈国浪,童昕,李占福.应用GA-BP神经网络优化平摆复合振动筛的振动参数[J].华侨大学学报(自然科学版),2018,39(4):509-513.DOI:10.11830/ISSN.1000-5013.201803010.
[7] WANG Xiaoyue,LI Zhanfu,TONG Xin,et al.The influence of particle shape on screening: Case studies regarding DEM simulations[J].Engineering Computations,2018,35(3):1512-1527.DOI:10.1108/EC-12-2016-0428.
[8] LI Zhanfu,LI Kunyuan,GE Xiaole,et al.Performance optimization of banana vibrating screens based on PSO-SVR under DEM simulations[J].Journal of Vibroengineering,2019,21(1):28-39.DOI:10.21595/jve.2018.19543.
[9] YIN Xucheng,HUANG Kaizhu,HAO Hongwei.DE2: Dynamic ensemble of ensembles for learning nonstationary data[J].Neurocomputing,2015,165:14-22.DOI:10.1016/j.neucom.2014.06.092.
[10] WANG Gang,ZHANG Zhu,SUN Jianshan,et al.POS-RS: A random subspace method for sentiment classification based on part-of-speech analysis[J].Information Processing & Management,2015,51(4):458-479.DOI:10.1016/j.ipm.2014.09.004.
[11] 蔡毅,朱秀芳,孙章丽,等.半监督集成学习综述[J].计算机科学,2017,44(增刊1):7-13.
[12] 石浩辰,罗涛,韩飞,等.浅谈大学物理实验数据处理的几种方法[J].科技风,2019(12):52-53.DOI:10.19392/j.cnki.1671-7341.201912044.
[13] 袁翔.机制砂石粉颗粒分布对砂浆拌合物性能的影响规律研究[J].墙材革新与建筑节能,2016(7):68-71.DOI:10.3969/j.issn.1006-9135.2016.07.045.
[14] GHADERPOUR E.Constructions for orthogonal designs using signed group orthogonal designs[J].Discrete Mathematics,2018,341(1):277-285.DOI:10.1016/j.disc.2017.08.039.
[15] 何鸣,李国正,袁捷,等.基于主成分分析的Bagging集成学习方法[J].上海大学学报(自然科学版),2006,12(4):415-418.DOI:10.3969/j.issn.1007-2861.2006.04.019.
[16] 陈良维.决策树算法在农户小额贷款中的应用研究[J].计算机工程与应用,2008(31):242-244.DOI:10.3778/j.issn.1002-8331.2008.31.071.
[17] 张钰,陈珺,王晓峰,等.Xgboost在滚动轴承故障诊断中的应用[J].噪声与振动控制,2017,37(4):166-170.DOI:10.3969/j.issn.1006-1355.2017.04.032.
[18] 仝卫国,李敏霞,张一可.深度学习优化算法研究[J].计算机科学,2018,45(增刊2):155-159.
[19] 刘钊,李晗,朱平.基于粒子群算法的轿车车身多学科优化设计[J].汽车工程,2018,40(3):251-258.DOI:10.19562/j.chinasae.qcgc.2018.03.002.
[20] FANG Jiancheng,CHEN Linzhouting,YAO Jifeng.An accurate gravity compensation method for high-precision airborne POS[J].IEEE Transactions on Geoscience and Remote Sensing,2014,52(8):4564-4573.DOI:10.1109/tgrs.2013.2282423.

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备注/Memo

备注/Memo:
收稿日期: 2019-12-20
通信作者: 童昕(1964-),男,教授,博士,博士生导师,主要从事机电系统动态分析与控制的研究.E-mail:xtong@fjut.edu.cn.
基金项目: 国家自然科学基金青年科学基金资助项目(51905100); 福建省教育厅中青年教师教育科研资助项目(JT180342); 福建省科技创新平台资助项目(2014H202); 华侨大学研究生科研创新基金资助项目(1601103005)
更新日期/Last Update: 2020-11-20