A method for detecting the uniformity of enamel film coating of an enameled wire

By introducing curvature radius correction and cylindrical surface interference optical path difference model, combined with frequency domain analysis, the spectral distortion problem in enameled wire coating film detection was solved, achieving high-precision coating film thickness distribution detection and defect identification, thus improving the accuracy and reliability of detection.

CN122409532APending Publication Date: 2026-07-17湖北德重精线有限公司
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
湖北德重精线有限公司
Filing Date
2026-04-10
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

Existing enameled wire coating inspection technologies suffer from spectral distortion and large thickness calculation errors when inspecting cylindrical surfaces, making it difficult to achieve high-precision circumferential thickness distribution detection.

Method used

By employing geometric distortion correction based on the radius of curvature and the cylindrical surface interference optical path difference model, combined with frequency domain analysis and information entropy mining, high-precision detection of paint film thickness distribution and defect identification are achieved through spectral data processing and phase demodulation.

Benefits of technology

It improves the accuracy of paint film coating inspection and the reliability of defect diagnosis, and can accurately distinguish between periodic eccentric and discrete random defects, significantly improving the accuracy and reliability of inspection.

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Abstract

本发明涉及漆包线检测技术领域,且公开了一种漆包线漆膜涂覆均匀性的检测方法,包括以下步骤,采集漆包线表面的原始反射光谱数据,并对其进行预处理,提取步骤S1中光谱数据的边缘特征计算曲率半径R,并基于曲率半径R对原始反射光谱数据进行几何畸变校正得到校正光谱数据Scorr;该检测方法通过引入基于曲率半径的几何畸变校正与圆柱面干涉光程差模型,解决了传统检测中因漆包线曲面效应导致的光谱信号空间扭曲问题,并结合频域分析与信息熵挖掘,实现了对漆膜厚度梯度的高精度相位解调与缺陷类型智能识别,能够准确区分周期性偏心型缺陷与离散随机型缺陷,显著提升了检测精度与缺陷诊断的可靠性。
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