电子科技2025，Vol.38Issue(11)：70-78,9.DOI:10.16180/j.cnki.issn1007-7820.2025.11.009
一种基于支持向量机小波核函数算法的钢丝绳损伤检测方法
A Steel Wire Rope Damage Detection Method Based on Support Vector Machine with Wavelet Kernel Algorithm
摘要
Abstract
In view of the problems such as low detection accuracy and poor stability of traditional wire rope damage detection technology,this study proposes a processing method based on the algorithm of wavelet kernel func-tion of support vector machine.By taking advantage of the similar characteristics of the kernel function and wavelet in decomposition and synthesis,the kernel function and wavelet denoising are integrated to effectively suppress the inter-ference noise.In order to realize the non-destructive testing of wire ropes,a wire rope magnetic flux leakage detec-tion device is designed.Through three analysis and processing steps,namely,detrending the magnetic flux leakage signal,denoising the signal after intervention,normalizing the eigenvalues,and training the model,the detection,extraction,and recognition of the magnetic flux leakage signal are realized.The results of data simulation comparison show that the proposed method has good detection performance.关键词
钢丝绳检测/小波核函数算法/漏磁信号/信号处理/特征提取/归一化处理/模型训练/小波分解Key words
wire rope detection/wavelet kernel function algorithm/magnetic leakage signal/signal processing/feature extraction/normalization/model training/wavelet decomposition分类
计算机与自动化引用本文复制引用
雒志恒,李艳萍,罗东岳..一种基于支持向量机小波核函数算法的钢丝绳损伤检测方法[J].电子科技,2025,38(11):70-78,9.基金项目
山东省科技型中小企业创新能力提升工程项目(2022TSGC1356) Shandong Province Science and Technology-based Small and Medium-sized Enterprises Innovation Capacity Enhancement Project(2022TSGC1356) （2022TSGC1356）
