摘要
对空气热机实验数据中获取的转速、温差等进行K型均值聚类和最近邻节点分类分析,获得空气热机是否达到平衡状态的快速判别方式,以及该判别方式在实验数据中表现出的区分能力和准确度.
In order to obtain a fast discriminatory method for whether the air engine reached equilibrium,the K-means clustering and K-nearest neighbor(KNN)analysis were performed on several factors gained from the experimental data of air engine,such as the rotation rate and temperature difference.The discriminatory method showed discrimination ability and accuracy in experimental data.
作者
全泓达
盖磊
QUAN Hong-da;GAI Lei(College of Physics and Optoelectronic Engineering,Ocean University of China,Qingdao 266100,China)
出处
《物理实验》
2022年第10期46-50,共5页
Physics Experimentation
基金
教育部高等学校大学物理课程教指委(华东地区)2021年度高等学校教学研究项目(No.2021JZWHD10)
中国海洋大学2021年度本科教育教学研究项目(No.2021JY008)。
关键词
空气热机
静态测量法
平衡点
K型聚类分析
KNN分类
air engine
static measurement
equilibrium point
K-means cluster analysis
KNN classification
