Investigation of Skewness Feature for Evaluation of Defects Using Eddy Current Pulsed Thermography

Chen, Xiaotian; Tian, Guohui; Ding, Song; Wu, Jianbo

doi:10.1109/jsen.2019.2936221

Cited by 12 publications

(2 citation statements)

References 24 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Several depth estimation methods have also been introduced based on other thermography techniques such as eddy current pulsed thermography [33]- [35], and vibrothermography [36], [37]. In [33], time analysis is performed to select optimal time windows for kernel-PCA.…”

Section: Introductionmentioning

confidence: 99%

“…In [34], the crossing point of impulse responses related to defective and sound areas, and also, the skewness of impulse responses are used for the depth estimation. In [35], a modified skewness calculation through inverting heating response has been proposed. This modified skewness feature removed the counteracting effect of the temperature distribution in the heating and cooling stages, which led to a highly sensitive and linear model for depth estimation.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Defect Detection and Depth Estimation in CFRP Through Phase of Transient Response of Flash Thermography

Azizinasab

Hasanzadeh

Hedayatrasa³

et al. 2022

IEEE Trans. Ind. Inf.

View full text Add to dashboard Cite

This paper presents a new method called phase of transient response using the local reference pixel vector (PTR-LRPV) to process pulsed thermography data for defect detection and depth estimation in carbon fiber reinforced polymer specimens. Due to the use of flash as excitation source in pulsed thermography and subsequently its adaptation with the conditions of suddenly applied input, the received signal from the infrared camera can be separated into two transient and steady-state responses in the frequency domain. Defects cause local variations in the thermal spatio-temporal patterns that the transient response can fairly reveal such highly informative variations. On the other hand, the steady-state response mainly includes the intrinsic characteristics of the specimen (sound areas). In fact, by properly separating these responses and employing the phase of the transient term, a suitable distinction of defect characteristics from sound areas has been reached. The results show that the proposed PTR-LRPV is effective in both defect detection and depth estimation tasks, and also, can fairly compete with several well-known algorithms in terms of both quantitative and qualitative criteria.

show abstract