基于朴素贝叶斯算法的手持式电动工具质量隐患诊断  

Quality Hazard Diagnosis of Hand-held Electric Tools Based on Naive Bayes Algorithm

作　　者：黄海泉 唐勇 张健 桂旭 Huang Haiquan;Tang Yong;Zhang Jian;Gui Xu

机构地区：[1]南通市产品质量监督检验所,江苏南通226005

出　　处：《电动工具》2023年第5期10-14,共5页Electric Tool

摘　　要：提供一种手持式电动工具质量隐患诊断方法,将手持式电动工具的一组特征参数作为预测样本输入预设的算法模型,将算法模型的输出作为手持式电动工具的质量隐患诊断结果。其中,算法模型包含有朴素贝叶斯网络的拓扑结构和对应的条件概率表,且朴素贝叶斯网络的拓扑结构用于表示手持式电动工具的各个特征参数与各个质量隐患诊断结果之间的对应关系,能够实现手持式电动工具的质量隐患智能自动化诊断,诊断过程高效快速且诊断结果准确率高。A quality hazard diagnosis method for hand-held electric tools is provided,which inputs a set of characteristic parameters of hand-held electric tools as prediction samples into the preset algorithm model,and uses the output of the algorithm model as the quality hazard diagnosis result for the target hand-held electric tools.Among them,the algorithm model includes the topological structure of a Naive Bayes network and corresponding conditional probability tables,and the topological structure of a Naive Bayes network is used to represent the corresponding relationships between various characteristic parameters and quality hazard diagnosis results of hand-held electric tools,which can achieve intelligent and automated diagnosis of quality hazards of hand-held electric tools,with efficient and fast diagnosis process and high accuracy of diagnosis results.

关 键 词：电动工具 质量隐患诊断 朴素贝叶斯网络 特征参数 

分 类 号：TP301[自动化与计算机技术—计算机系统结构]