基于改进SSA优化SVM的超窄间隙焊接质量评估  

Quality evaluation of ultra-narrow gap welding based on improved SSA optimizing SVM

作　　者：冯延鹏 张爱华[1,2,3] 梁婷婷 马强杰 马晶[1,2,3] 王平 Feng Yanpeng;Zhang Aihua;Liang Tingting;Ma Qiangjie;Ma Jing;Wang Ping(College of Electrical and Information Engineering,Lanzhou University of Technology,Lanzhou 730050,China;Key Laboratory of Gansu Advanced Control for Industrial Processes,Lanzhou University of Technology,Lanzhou 730050,China;National Demonstration Center for Experimental Electrical and Control Engineering Education,Lanzhou University of Technology,Lanzhou 730050,China)

机构地区：[1]兰州理工大学电气工程与信息工程学院,兰州730050 [2]甘肃省工业过程先进控制重点实验室,兰州730050 [3]兰州理工大学电气与控制工程国家级实验教学示范中心,兰州730050

出　　处：《电子测量与仪器学报》2023年第6期195-205,共11页Journal of Electronic Measurement and Instrumentation

基　　金：国家自然科学基金(62173170,61866021);辽宁省自然基金(2020-KF-21-04,2021-KF-21-04)项目资助。

摘　　要：超窄间隙焊接坡口较窄且深,难以直接通过视觉来评估焊接质量,针对上述问题,本文提出了一种基于混沌多策略扰动麻雀搜索算法(CMDSSA)优化支持向量机(SVM)的超窄间隙焊接质量评估模型。首先对麻雀搜索算法(SSA)进行改进,引入Logistic-Tent混沌映射和多扰动策略来提高麻雀搜索算法的寻优性能;然后通过与SSA、CSSOA、PSO、GA和WOA算法进行寻优测试对比,验证了CMDSSA算法的优越性;最后利用CMDSSA对SVM的惩罚因子C和核参数g进行寻优,构建CMDSSA-SVM质量评估模型对焊接质量进行评估。结果表明CMDSSA-SVM评估准确率为97.541%,验证了提出的超窄间隙焊接质量评估方法的高精度与可行性。The groove of ultra-narrow gap welding is narrow and deep,so it is difficult to evaluate the welding quality directly through vision.To solve the above problems,this paper proposed an ultra-narrow gap welding quality evaluation model based on chaotic multistrategy disturbed sparrow search algorithm(CMDSSA)to optimize support vector machine(SVM).Firstly,the sparrow search algorithm(SSA)is improved,and the Logistic-Tent chaotic mapping and multi-disturbance strategy are introduced to improve the optimization performance of the sparrow search algorithm.Then,the superiority of CMDSSA algorithm is verified by comparing with SSA,CSSOA,PSO,GA and WOA algorithms.Finally,CMDSSA was used to optimize the penalty factor C and the kernel parameter g of SVM,and a CMDSSA-SVM quality evaluation model was constructed to evaluate the welding quality.The results show that the evaluation accuracy of CMDSSA-SVM is 97.541%,which verifies the high accuracy and feasibility of the proposed method for ultranarrow gap welding quality evaluation.

关 键 词：麻雀搜索算法 焊接质量评估 超窄间隙焊接 莱维飞行 Logistic-Tent混沌映射 支持向量机 

分 类 号：TN98[电子电信—信息与通信工程] TP301.6[自动化与计算机技术—计算机系统结构]