陕西师范大学学报（自然科学版）2026，Vol.54Issue(2)：1-10,10.DOI:10.15983/j.cnki.jsnu.2026213
基于DMAS算法的轴承内部损伤高信噪比超声成像方法
A high signal-to-noise ratio ultrasonic imaging method for internal bearing defects based on the DMAS algorithm
摘要
Abstract
As a core fundamental component in various large-scale mechanical systems,bearings play a critical role in ensuring the safe and reliable operation of equipment,making high-precision detection and imaging of internal defects of significant theoretical and engineering importance.To address the challenges associated with bearings featuring complex curved surfaces,this study proposes a high signal-to-noise ratio ultrasonic imaging method based on the delay multiply and sum(DMAS)algorithm.In the experiments,a wedge in combination with an ultrasonic phased-array transducer was employed to inspect internal flat-bottom hole defects in bearings using oblique ultrasonic incidence.Signal-to-noise ratio(SNR),array performance index(API),and other evaluation metrics were introduced to quantitatively assess the imaging performance for different types of damage.The experimental results demonstrate that the surface-corrected p-DMAS imaging algorithm exhibits superior performance across all image quality metrics,achieving a maximum SNR improvement of 25.8 dB and an API increase of up to 8.4,thereby significantly enhancing defect detection capability.This method provides a novel approach and practical solution for in situ nondestructive testing of bearing-like curved structures.关键词
轴承/超声相控阵/DMAS算法/超声曲面成像Key words
bearing/ultrasonic phased array/DMAS algorithm/ultrasonic curved-surface imaging分类
通用工业技术引用本文复制引用
张怡波,文放,李卫彬,邓明晰..基于DMAS算法的轴承内部损伤高信噪比超声成像方法[J].陕西师范大学学报（自然科学版）,2026,54(2):1-10,10.基金项目
国家自然科学基金(12425412,12134002) （12425412,12134002）
