电器与能效管理技术Issue(9)：33-39,7.DOI:10.16628/j.cnki.2095-8188.2025.09.004
基于SSA-RFR的涡流检测方法研究
A Study on Eddy Current Testing Method Based on SSA-RFR
叶炎锋 1吴艺鹏 1李鑫 2梁安怡1
作者信息
- 1. 广东电网有限责任公司 江门供电局,广东 江门 529000
- 2. 合肥工业大学电气与自动化工程学院,安徽 合肥 230000
- 折叠
摘要
Abstract
To address the issue of diameter reduction in structural components due to corrosion,a non-destructive testing method based on the sparrow search algorithm-optimized random forest regression(SSA-RFR)is proposed.Firstly,the eddy current response signals from specimens with varying diameters are collected under 1 kHz pulsed excitation.Kalman filtering is applied to denoise the raw signals,enhancing their quality.Subsequently,the key feature parameters are extracted via exponential function fitting to serve as effective inputs for modeling.Finally,an SSA-RFR predictive model is developed for regression analysis and prediction of component diameter.Experimental results demonstrate that the mean squared error(MSE)of the proposed method is 0.310 6,representing a reduction of approximately 97.9％compared to the traditional Random Forest Regression model and markedly enhancing prediction accuracy.These findings validate the effectiveness and engineering applicability of the proposed SSA-RFR method for non-destructive testing.关键词
直径检测/麻雀搜索算法优化-随机森林回归/无损检测/随机森林Key words
diameter detection/sparrow search algorithm-optimized random forest regression(SSA-RFR)/non-destructive testing/random forest分类
信息技术与安全科学引用本文复制引用
叶炎锋,吴艺鹏,李鑫,梁安怡..基于SSA-RFR的涡流检测方法研究[J].电器与能效管理技术,2025,(9):33-39,7.
