Analysis of Meshing Contact Characteristics of the Gear Transmission System Based on Data Mining Technology

Li Shengjia; Ma Yali; Zhao Yongsheng; Pu Dajun; Yan Shidang

doi:10.16578/j.issn.1004.2539.2023.03.011

您当前的位置：

首页 >

文章列表页 >

Analysis of Meshing Contact Characteristics of the Gear Transmission System Based on Data Mining Technology

Test·Analysis | 更新时间：2023-03-29

- Analysis of Meshing Contact Characteristics of the Gear Transmission System Based on Data Mining Technology
- Journal of Mechanical Transmission Vol. 47, Issue 3, Pages: 78-85(2023)
- 作者机构：
  
  1.大连理工大学机械工程学院，辽宁大连 116024
  2.郑州机械研究所有限公司，河南郑州 450001
- 作者简介：
- 基金信息：
- DOI：10.16578/j.issn.1004.2539.2023.03.011
  CLC：
- Published：15 March 2023，
  
  Received：03 March 2022，
  
  Revised：28 March 2022，
扫描看全文
李胜甲,马雅丽,赵永生等.基于数据挖掘技术的齿轮传动系统啮合接触特性分析[J].机械传动,2023,47(03):78-85.

Li Shengjia,Ma Yali,Zhao Yongsheng,et al.Analysis of Meshing Contact Characteristics of the Gear Transmission System Based on Data Mining Technology[J].Journal of Mechanical Transmission,2023,47(03):78-85.
李胜甲,马雅丽,赵永生等.基于数据挖掘技术的齿轮传动系统啮合接触特性分析[J].机械传动,2023,47(03):78-85. DOI： 10.16578/j.issn.1004.2539.2023.03.011.

Li Shengjia,Ma Yali,Zhao Yongsheng,et al.Analysis of Meshing Contact Characteristics of the Gear Transmission System Based on Data Mining Technology[J].Journal of Mechanical Transmission,2023,47(03):78-85. DOI： 10.16578/j.issn.1004.2539.2023.03.011.

摘要

针对在多工况、多不确定性参数所形成的大数据下齿轮传动系统啮合接触特性分析困难的问题，提出了一种基于数据挖掘技术的齿轮传动系统啮合接触特性分析方法。基于多维高斯分布原理与齿轮传动系统有限元模型，构建了系统啮合接触特性数据集；采用最大信息系数分析了各系统参数与啮合接触特性之间的相关性，为预测模型提供了候选特征子集；采用支持向量机和随机森林算法建立了系统啮合接触特性预测模型，实现了对系统啮合接触特性的高效预测。结果表明，基于支持向量机算法的预测模型的预测误差最小，平均绝对百分比误差为3.87%，远小于理论计算误差。其中，在最优特征子集下，基于支持向量机算法的预测模型的各项接触特性预测误差指标显著下降，其平均绝对百分比误差降至3.03%，比优化前的接触特性预测误差减小了21.71%，验证了所提方法的精确性与有效性。

Abstract

Aiming at the difficulty of analyzing the meshing contact characteristics of gear transmission system under the big data formed by multiple working conditions and uncertain parameters

a meshing contact characteristics analysis method of gear transmission system based on data mining technology is proposed. Based on the principle of multi-dimensional Gaussian distribution and the finite element model of gear transmission system

the meshing contact characteristic data set of the system is constructed. The correlation between system parameters and meshing contact characteristics is analyzed using the maximum information coefficient

which provides a candidate feature subset for the prediction model. Then

the prediction model of meshing contact characteristics of the system is established using support vector machine and random forest algorithm

which realizes the efficient prediction of meshing contact characteristics of the system. The results show that the prediction error of the prediction model based on support vector machine is the smallest

and the average absolute percentage error is 3.87%

which is far less than the theoretical calculation error. Under the optimal feature subset

the prediction error index of contact characteristics of the prediction model based on support vector machine decreases significantly

and its average absolute percentage error reaches 3.03%

which is 21.71% lower than the prediction error of contact characteristics before optimization. These have verified the accuracy and effectiveness of the proposed method.

关键词

齿轮传动系统啮合接触特性最大信息系数数据挖掘预测模型

Keywords

Gear transmission systemMeshing contact characteristicsMaximum information coefficientData miningPrediction model

references

PATIL S S，KARUPPANAN S，ATANASOVSKA I，et al.Contact stress analysis of helical gear pairs，including frictional coefficients［J］.International Journal of Mechanical Sciences，2014，85：205-211.

许欢，杨国来，郑建国，等.齿轮无摩擦接触的等几何分析研究［J］.机械传动，2015，39（5）：30-32.

XU Huan，YANG Guolai，ZHENG Jianguo，et al.Research of the isogeometric analysis of gear frictionless contact［J］.Journal of Mechanical Transmission，2015，39（5）：30-32.

陈龙，郝婵娟，汪中厚，等.单齿啮合的齿轮接触等几何分析［J］.机械工程学报，2021，57（3）：107-115.

CHEN Long，HAO Chanjuan，WANG Zhonghou，et al.Isogeometric analysis of gear with single tooth contact［J］.Journal of Mechanical Engineering，2021，57（3）：107-115.

WEN Q，DU Q，ZHAI X.An analytical method for calculating the tooth surface contact stress of spur gears with tip relief［J］.International Journal of Mechanical Sciences，2018，151：170-180.

马雅丽，乔福瑞.ANSYS精确建模的含齿形误差齿轮接触特性研究［J］.机械传动，2013，37（11）：38-42.

MA Yali，QIAO Furui.Research on contact characteristics of gear with profile error based on an accurately modeling method by ANSYS［J］.Journal of Mechanical Transmission，2013，37（11）：38-42.

陈燕，殷国富，衡良，等.基于媒介齿条的渐开线圆柱蜗杆斜齿轮传动啮合特性分析［J］.中南大学学报（自然科学版），2019，50（12）：2998-3006.

CHEN Yan，YIN Guofu，HENG Liang，et al.Meshing performance analysis of involute cylinder worm and helical gear drive based on media rack［J］.Journal of Central South University（Science and Technology），2019，50（12）：2998-3006.

贾海涛，王峰，方宗德.圆柱斜齿轮齿面接触动应力计算与分析研究［J］.振动与冲击，2014，33（22）：168-171.

JIA Haitao，WANG Feng，FANG Zongde.Calculation and comparative analysis of helical gear tooth contact dynamic stress［J］.Journal of Vibration and Shock，2014，33（22）：168-171.

白恩军，谢里阳，佟安时，等.考虑齿轮轴变形的斜齿轮接触分析［J］.兵工学报，2015，36（10）：1975-1981.

BAI Enjun，XIE Liyang，TONG Anshi，et al.The contact analysis of helical gear in considering gear shaft deformation［J］.Acta Armamentarii，2015，36（10）：1975-1981.

RODA-CASANOVA V，SANCHEZ-MARIN F T，GONZALEZ-PEREZ I，et al.Determination of the ISO face load factor in spur gear drives by the finite element modeling of gears and shafts［J］.Mechanism and Machine Theory，2013，65：1-13.

RODA-CASANOVA V，ISERTE-VILAR J L，SANCHEZ-MARIN F，et al.Development and comparison of shaft-gear models for the computation of gear misalignments due to power transmission［C］//Proceedings of the ASME Design Engineering Technical Conference，At：Washington D.C，U.S.A，2012：279-287.

全国齿轮标准化技术委员会.直齿轮和斜齿轮承载能力计算第2部分：齿面接触强度（点蚀）计算：GB∕T 3480.2—2021［S］.北京：中国标准出版社，2021：1-30.

National Technical Committee for Gear Standardization.Calculation of load capacity of spur and helical gears-part 2：calculation of surface durability（pitting）：GB∕T 3480.2—2021［S］.Beijing：Standards Press of China，2021：1-30.

ZHANG L，CHEN C，LIU J，et al.Dynamic characteristic of spur gear with flexible support of gearbox［J］.Journal of Vibroengineering，2018，20（3）：1530-1543.

RESHEF D N，RESHEF Y A，FINUCANE H K，et al.Detecting novel associations in large data sets［J］.Science，2011，334（6062）：1518-1524.

ALBANESE D，FILOSI M，VISINTAINER R，et al.Minerva and minepy：a C engine for the MINE suite and its R，Python and Matlab wrappers［J］.Bioinformatics，2012，29（3）：407-408.

CHANG C，LIN C.Libsvm［J］.ACM Transactions on Intelligent Systems and Technology，2011，2（3）：1-27.

BREIMAN L.Random forests［J］.Machine Learning，2001，45（1）：5-32.

PEDREGOSA F，VAROQUAUX G，GRAMFORT A，et al.Scikit-learn：machine learning in Python［J］.Journal of Machine Learning Research，2011，12：2825-2830.

Views

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Dynamic Analysis of the Gear Transmission System of High-speed Trains Based on IHBM

Experimental Study on Vibration and Noise Control of the Gear System with Different Damping Liquid Viscosity of Novel IDG

Effect of Gear Eccentricity on Dynamic Behavior of Locomotive Rolling Stock Transmission System

Gearbox Fault Diagnosis Based on Dynamic Weighted Feature Fusion with Maximum Information Coefficient

Research Progress on Dry Running of Helicopter Gear Transmission System

Related Author

Wang Jun

Hu Yufei

Zhang Jianchao

Chen Zhan

Li Geng

Hou Qiyang

He Lidong

Zhang Yipeng

Related Institution

School of Mechanical Engineering, Shijiazhuang Tiedao University

State Key Laboratory of Structural Mechanical Behavior and System Safety for Transportation Engineering Co-constructed by Povince and Ministry, Shijiazhuang Tiedao University

Beijing Key Laboratory of Health Monitoring and Self-recovery for High End Mechanical Equipment, Beijing University of Chemical Technology

Department of Mechanical Engineering, Southwest Jiaotong University

Chengdu Yunda Technology Co., Ltd.

⁰