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Blind image separation for the debonding defects recognition of the solid propellant rocket motor cladding layer using pulse thermography
Measurement ( IF 3.364 ) Pub Date : 2021-01-13 , DOI: 10.1016/j.measurement.2021.108997
Fei Wang; Junyan Liu; Boyuan Dong; Jinlong Gong; Wei Peng; Yang Wang; Mingjun Chen; Guobin Liu

Blind image separation based on wavelet transform (WT) enhancement algorithm for the pulse thermography was introduced as a novel modality to recognize the debonding defects of the solid propellant rocket motor cladding layer. Experimental research on the pulse thermography detection of the cladding layer debonding defects was carried out. The main noise sources and the characteristics associated with pulse thermography were analyzed. Subsequently, the traditional image enhancement algorithm and WT enhancement algorithm were compared and investigated. The influence of wavelet parameters on the enhancement of noise reduction ability of WT blind separation is studied. The half-width method is used to detect the defect size, and the results showed that the debonding defects of the solid propellant rocket motor cladding layer can be recognized with high precision by blind image separation based on WT enhancement algorithm.



中文翻译:

利用脉冲热像仪进行盲像分离,以分离固体推进剂火箭发动机覆层的脱胶缺陷

介绍了一种基于小波变换(WT)增强算法的脉冲热成像盲图像分离方法,以识别固体推进剂火箭发动机金属包覆层的脱胶缺陷。进行了脉冲热像仪检测熔覆层剥离缺陷的实验研究。分析了主要噪声源和与脉冲热像仪相关的特性。随后,对传统的图像增强算法和WT增强算法进行了比较和研究。研究了小波参数对增强WT盲分离降噪能力的影响。半角宽度法用于检测缺陷尺寸,

更新日期:2021-01-13
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