Quantitative detection of defects based on Markov–PCA–BP algorithm using pulsed infrared thermography technology

Tang, Qingju; Dai, Jingmin; Liu, Junyan; Liu, Chunsheng; Liu, Yuanlin; Ren, Chunping

doi:10.1016/j.infrared.2016.05.027

Cited by 30 publications

(12 citation statements)

References 6 publications

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“…Pawar and Vavilov [ 48 ] used a 3D Normalisation Algorithm (3DNA) for PT to compensate the background non-uniformity in both damaged glass and carbon fibre reinforced composites. Tang et al [ 66 ] combined the Markov and Principal Component Thermography (PCT) algorithm with PT in order to detect debonding in ceramic thermal barrier coatings for aerospace. The depth and diameter prediction error was about 4–10% for defects with a diameter–depth ratio of 1.2–4.0, and depth between 1.0 and 2.5 mm, which proved the effectiveness of the proposed method for a quantitative detection of material defects.…”

Section: Optically Stimulated Thermographymentioning

confidence: 99%

Recent Advances in Active Infrared Thermography for Non-Destructive Testing of Aerospace Components

Ciampa

Mahmoodi

Pinto

et al. 2018

Sensors

350

185

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Active infrared thermography is a fast and accurate non-destructive evaluation technique that is of particular relevance to the aerospace industry for the inspection of aircraft and helicopters’ primary and secondary structures, aero-engine parts, spacecraft components and its subsystems. This review provides an exhaustive summary of most recent active thermographic methods used for aerospace applications according to their physical principle and thermal excitation sources. Besides traditional optically stimulated thermography, which uses external optical radiation such as flashes, heaters and laser systems, novel hybrid thermographic techniques are also investigated. These include ultrasonic stimulated thermography, which uses ultrasonic waves and the local damage resonance effect to enhance the reliability and sensitivity to micro-cracks, eddy current stimulated thermography, which uses cost-effective eddy current excitation to generate induction heating, and microwave thermography, which uses electromagnetic radiation at the microwave frequency bands to provide rapid detection of cracks and delamination. All these techniques are here analysed and numerous examples are provided for different damage scenarios and aerospace components in order to identify the strength and limitations of each thermographic technique. Moreover, alternative strategies to current external thermal excitation sources, here named as material-based thermography methods, are examined in this paper. These novel thermographic techniques rely on thermoresistive internal heating and offer a fast, low power, accurate and reliable assessment of damage in aerospace composites.

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Section: Optically Stimulated Thermographymentioning

confidence: 99%

Recent Advances in Active Infrared Thermography for Non-Destructive Testing of Aerospace Components

Ciampa

Mahmoodi

Pinto

et al. 2018

Sensors

350

185

View full text Add to dashboard Cite

show abstract

“…IR thermography has many advantages, such as non-destruction, non-contact, fast data acquisition, and large-scale use on PV plants at maximum power production state [31][32][33]. Used thermal cameras can be carried by an operator who inspects manually each module, fixed at a static support or mounted on UAV.…”

Section: Infrared Thermographymentioning

confidence: 99%

Thermal Infrared and Visual Inspection of Photovoltaic Installations by UAV Photogrammetry—Application Case: Morocco

Zefri

ElKettani

Sebari

et al. 2018

Drones

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Being sustainable, clean, and eco-friendly, photovoltaic technology is considered as one of the most hoped solutions face to worldwide energetic challenges. Morocco joins this context with the inauguration of numerous clean energy projects. However, one key factor in making photovoltaic installations a profitable investment are regular and effective inspections in order to detect occurred defects. Unmanned aerial vehicles (UAV) are increasingly used in various inspection fields. In this respect, this work focuses on the use of thermal and visual imagery taken by UAV in the inspection of photovoltaic installations. Visual and thermal images of photovoltaic modules, obtained by UAV, from different installations, and with different acquisition conditions and parameters, were exploited to generate orthomosaics for inspection purposes. The methodology was tested on a dataset we have acquired by a mission in Rabat (Morocco), and also on external datasets acquired in Switzerland. As final results, several visual defects were detected in visual RGB and thermal orthomosaics, such as cracks, soiling, and hotspots. In addition, a procedure of semi-automatic hotspots’ extraction was also developed and is presented within this work. On the other side, various tests were conducted on the influence of some acquisition and processing parameters (images’ overlap, the ground sampling distance, the flying height, the use of ground control points, the internal camera parameters’ optimization) on the detection of defects and the quality of visual and thermal generated orthomosaics. In the end, the potential of UAV thermal and visual imagery in the inspection of photovoltaic installations was discussed in function of various parameters. On the basis of the discussion feedback, UAV were concluded as advantageous tools within the thematic of this project, which proves the necessity of their implementation in this context.

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“…There are plentiful publications devoted to quantitative depth evaluation [ 12 , 13 , 14 , 15 , 16 , 17 ]. Many studies establish the proportionality between squared defect depths and the corresponding specific characteristic time (SCT) of heat conduction.…”

Section: Introductionmentioning

confidence: 99%

Characterizing Depth of Defects with Low Size/Depth Aspect Ratio and Low Thermal Reflection by Using Pulsed IR Thermography

et al. 2021

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This study is focused on the quantitative estimation of defect depth by applying pulsed thermal nondestructive testing. The majority of known defect characterization techniques are based on 1D heat conduction solutions, thus being inappropriate for evaluating defects with low aspect ratios. A novel method for estimating defect depth is proposed by taking into account the phenomenon of 3D heat diffusion, finite lateral size of defects and the thermal reflection coefficient at the boundary between a host material and defects. The method is based on the combination of a known analytical model and a non-linear fitting (NLF) procedure. The algorithm was verified both numerically and experimentally on 3D-printed polylactic acid plastic samples. The accuracy of depth prediction using the proposed method was compared with the reference characterization technique based on thermographic signal reconstruction to demonstrate the efficiency of the proposed NLF method.

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Quantitative detection of defects based on Markov–PCA–BP algorithm using pulsed infrared thermography technology

Cited by 30 publications

References 6 publications

Recent Advances in Active Infrared Thermography for Non-Destructive Testing of Aerospace Components

Recent Advances in Active Infrared Thermography for Non-Destructive Testing of Aerospace Components

Thermal Infrared and Visual Inspection of Photovoltaic Installations by UAV Photogrammetry—Application Case: Morocco

Characterizing Depth of Defects with Low Size/Depth Aspect Ratio and Low Thermal Reflection by Using Pulsed IR Thermography

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