Application of Grey Relational Analysis and Multiple Linear Regression to Establish the Cutting Force Model of Oil Peony Stalk

Zhe Du; Liyuan Zhang; Xiaolin XieDenghui LiXinping LiZhihong ZhangJing PangGeorgios I. Giannopoulos

首页> 外文期刊>Mathematical Problems in Engineering: Theory, Methods and Applications >Application of Grey Relational Analysis and Multiple Linear Regression to Establish the Cutting Force Model of Oil Peony Stalk

【24h】

Application of Grey Relational Analysis and Multiple Linear Regression to Establish the Cutting Force Model of Oil Peony Stalk

机译：Application of Grey Relational Analysis and Multiple Linear Regression to Establish the Cutting Force Model of Oil Peony Stalk

获取原文

获取原文并翻译 | 示例

掌桥外文数据库（机构版） >>

开具论文收录证明 >>

文献代查 >>

页面导航

摘要
著录项
相关主题

摘要

Oil peony is an important oil crop, which has high quality and oil content. In order to improve the cutting quality and harvest efficiency of oil peony, the cutting equipment of the pruning machine and harvester is a key component. Also, the accurate prediction of cutting force of oil peony stalk is one of the essential processes for the design of the cutting equipment. In this article, to accurately predicted the cutting force of the stalk, the physical property parameters and chemical components were considered as influencing factors, which were used to establish the model of mechanical property parameter of oil peony stalk. The physical property parameters of oil peony stalk included the stalk diameter, internode distance, fresh weight, dry weight, relative moisture content, volume, fresh density, and dry density. The chemical components of the stalk were cellulose, hemicellulose, and lignin. Besides, the modeling methods, which were the partial least squares regression (PLSR), principal component analysis (PCA) couple with multiple linear regression (MLR), and grey relational analysis (GRA) couple with MLR, were used to optimize the multiple parameters (physical property parameters and chemical components). The results showed that the internode distance and relative moisture content had significant effects on the cutting force of oil peony stalk. The Rc2 and Rp2 values of the GRA (0.5)?+?MLR method were 0.801 and 0.820, and RMSEC and RMSEP values were 2.862N and 4.715N, respectively. Consequently, the GRA?+?MLR method could be used to predict the cutting force of oil peony stalk, which was an important basis for the design of precision cutting equipment.

著录项

来源
《Mathematical Problems in Engineering: Theory, Methods and Applications》 |2022年第17期|1.1-1.10|共10页
作者
Zhe Du; Liyuan Zhang; Xiaolin XieDenghui LiXinping LiZhihong ZhangJing PangGeorgios I. Giannopoulos;
展开▼
作者单位

College of Agricultural Equipment Engineering Henan University of Science and Technology Luoyang 471003 ||Collaborative Innovation Center of Machinery Equipment Advanced Manufacturing of Henan Province Luoyang 471003;

College of Agricultural Equipment Engineering Henan University of Science and Technology Luoyang 471003;

展开▼
收录信息
原文格式 PDF
正文语种英语
中图分类
关键词

Application of Grey Relational Analysis and Multiple Linear Regression to Establish the Cutting Force Model of Oil Peony Stalk

摘要

著录项

相关主题

期刊订阅