Quantitative Infrared Thermography Journal最新文献_第8页

Comparative study of active infrared thermography, ultrasonic laser vibrometry and laser ultrasonics in application to the inspection of graphite/epoxy composite parts 主动红外热像仪、超声激光测振仪和激光超声在石墨/环氧复合材料零件检测中的应用比较研究

IF 2.5 3区工程技术

Quantitative Infrared Thermography Journal Pub Date : 2020-10-01 DOI: 10.1080/17686733.2019.1646971

V. Vavilov, A. Karabutov, A. Chulkov, D. Derusova, A. Moskovchenko, E. Cherepetskaya, E. Mironova

引用次数: 16

Quality inspection of natural leather using non-destructive testing technique 利用无损检测技术对天然皮革进行质量检测

IF 2.5 3区工程技术

Quantitative Infrared Thermography Journal Pub Date : 2020-10-01 DOI: 10.1080/17686733.2019.1648634

S. Chudzik

引用次数: 4

Correction 校正

IF 2.5 3区工程技术

Quantitative Infrared Thermography Journal Pub Date : 2020-10-01 DOI: 10.1080/17686733.2019.1652012

引用次数: 0

Lock-in thermography on moving samples: amazing mismatch between amplitude and phase 移动样品的锁定热成像:振幅和相位之间的惊人不匹配

IF 2.5 3区工程技术

Quantitative Infrared Thermography Journal Pub Date : 2020-10-01 DOI: 10.1080/17686733.2019.1655248

A. Salazar, L. Zamanillo, M. Colom, A. Mendioroz, U. Galietti, A. Sommier, J. Batsale, C. Pradère

引用次数: 7

Comparison between multi-frequency and multi-speed laser lock-in thermography methods for the evaluation of crack depths in metal 多频和多速激光锁定热成像方法评价金属裂纹深度的比较

IF 2.5 3区工程技术

Quantitative Infrared Thermography Journal Pub Date : 2020-10-01 DOI: 10.1080/17686733.2019.1635351

C. Boué, S. Holé

引用次数: 5

New approach for layer thickness measurements of coatings using pulsed lock-in thermography 脉冲锁相热成像技术测量涂层层厚的新方法

IF 2.5 3区工程技术

Quantitative Infrared Thermography Journal Pub Date : 2020-09-22 DOI: 10.1080/17686733.2020.1816752

D. Hoffmann, M. Bastian, G. Schober

{"title":"New approach for layer thickness measurements of coatings using pulsed lock-in thermography","authors":"D. Hoffmann, M. Bastian, G. Schober","doi":"10.1080/17686733.2020.1816752","DOIUrl":"https://doi.org/10.1080/17686733.2020.1816752","url":null,"abstract":"ABSTRACT The coating of materials has grown to an important treatment for improving functionality and appearance of components. A decisive factor for a reliable and consistent performance in its field of application is the layer thickness of coated materials. Consequently, monitoring and controlling the thickness, especially the homogeneity of the coating, represent relevant tasks on a large scope. Active thermography has been established as a method for quality monitoring, but excitation sources for conventional lock-in thermography are either very expensive or relatively inert. Commonly used excitation sources for pulse thermography have a high responsiveness, but a lower signal-to-noise-ratio (SNR) usually confines the result. In this paper, a novel approach is presented where the sample is periodically excited with consecutive pulses and submitted to a lock-in evaluation. This so-called pulsed lock-in thermography offers a less expensive and reproducible way for non-destructive testing and has the potential for large-area measurement of the thickness of coatings.","PeriodicalId":54525,"journal":{"name":"Quantitative Infrared Thermography Journal","volume":"19 1","pages":"71 - 84"},"PeriodicalIF":2.5,"publicationDate":"2020-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/17686733.2020.1816752","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41692357","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 6

Defect shape detection and defect reconstruction in active thermography by means of two-dimensional convolutional neural network as well as spatiotemporal convolutional LSTM network 二维卷积神经网络和时空卷积LSTM网络在主动热成像中的缺陷形状检测和缺陷重建

IF 2.5 3区工程技术

Quantitative Infrared Thermography Journal Pub Date : 2020-09-13 DOI: 10.1080/17686733.2020.1810883

D. Müller, U. Netzelmann, B. Valeske

{"title":"Defect shape detection and defect reconstruction in active thermography by means of two-dimensional convolutional neural network as well as spatiotemporal convolutional LSTM network","authors":"D. Müller, U. Netzelmann, B. Valeske","doi":"10.1080/17686733.2020.1810883","DOIUrl":"https://doi.org/10.1080/17686733.2020.1810883","url":null,"abstract":"ABSTRACT A neural network (NN) for semantic segmentation (U-Net) was used for the detection of crack-type defects from thermography sequences. For this task, data sequences of forged steel parts were acquired through induction thermography and the corresponding phase images calculated. The results for defect detection were quantitatively evaluated using Intersection over Union (IoU) metric. Further, a combination of 2D convolutional layer as well as LSTM (Long-Short-Term-Memory) is shown, which includes three-dimensional aspects in the form of time dependent and spatial changes and allows a defect shape reconstruction of back wall drillings. Therefore, pulsed thermography sequences were simulated with COMSOL Multiphysics. Finally, the reconstruction results were compared with the ground-truth defect profile using Mean Squared Error (MSE). The approaches provide improvements over conventional methods in non-destructive testing using infrared thermography.","PeriodicalId":54525,"journal":{"name":"Quantitative Infrared Thermography Journal","volume":"19 1","pages":"126 - 144"},"PeriodicalIF":2.5,"publicationDate":"2020-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/17686733.2020.1810883","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43733365","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 14

Automatic extraction of canopy and artificial reference temperatures for determination of crop water stress indices by using thermal imaging technique and a fuzzy-based image-processing algorithm 利用热成像技术和基于模糊的图像处理算法自动提取冠层和人工参考温度，确定作物水分胁迫指标

IF 2.5 3区工程技术

Quantitative Infrared Thermography Journal Pub Date : 2020-09-10 DOI: 10.1080/17686733.2020.1819707

Pedram Shoa, A. Hemmat, R. Amirfattahi, M. Gheysari

{"title":"Automatic extraction of canopy and artificial reference temperatures for determination of crop water stress indices by using thermal imaging technique and a fuzzy-based image-processing algorithm","authors":"Pedram Shoa, A. Hemmat, R. Amirfattahi, M. Gheysari","doi":"10.1080/17686733.2020.1819707","DOIUrl":"https://doi.org/10.1080/17686733.2020.1819707","url":null,"abstract":"ABSTRACT Thermal stress indicators are one of the most accurate indices for sensing plant water status that can be remotely measured by the means of infrared thermography. In addition to the canopy temperature, these indices need to access the wet and dry reference temperatures which refer to the temperatures of the canopy at well-watered and fully stressed conditions, respectively. The main goal of this study is to measure the canopy as well as reference temperatures automatically by the means of a single thermal image, captured from an olive tree. The temperatures of artificial reference surfaces were extracted by the means of an object detection method based on the edge detection and morphological processes. The temperatures of sunlit and shaded canopy portions were also detected, using a Fuzzy C-means clustering of thermal images with the wet and dry reference temperatures as thresholds. The algorithm was successfully detected the references in 90% of the images and the automatic extracted canopy temperatures were significantly correlated with the manual ones.","PeriodicalId":54525,"journal":{"name":"Quantitative Infrared Thermography Journal","volume":"19 1","pages":"85 - 96"},"PeriodicalIF":2.5,"publicationDate":"2020-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/17686733.2020.1819707","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43269319","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 5

In situ quantitative diagnosis of insulated building walls using passive infrared thermography 被动红外热成像技术在绝热建筑墙体现场定量诊断中的应用

IF 2.5 3区工程技术

Quantitative Infrared Thermography Journal Pub Date : 2020-08-23 DOI: 10.1080/17686733.2020.1805939

M. H. A. Larbi Youcef, V. Feuillet, L. Ibos, Y. Candau

{"title":"In situ quantitative diagnosis of insulated building walls using passive infrared thermography","authors":"M. H. A. Larbi Youcef, V. Feuillet, L. Ibos, Y. Candau","doi":"10.1080/17686733.2020.1805939","DOIUrl":"https://doi.org/10.1080/17686733.2020.1805939","url":null,"abstract":"ABSTRACT The research project DPE-IITI aims to carry out the in situ diagnosis of energy performance of buildings by quantifying the insulation level of walls. The on site monitoring method is based on the use of passive infrared thermography, meteorological measurements (air temperatures, solar flux), thermal modelling and identification algorithm. A measurement campaign was conducted in a school in the city of Noisiel (suburb of Paris, France). Experimental results based on a radiometric model and finite element simulation parameter identification approach show the potential of the method to quantify the thermal insulation level of a building wall. The structure of the wall is considered as known and the identification procedure estimates either the thermal conductivity or the thickness of the insulation layer. It is therefore a situation of control of the insulation. It shows that a satisfactory estimation could be reached for an analysis duration of one day. This prospective work could lead to the integration of infrared thermography into standard diagnosis procedures.","PeriodicalId":54525,"journal":{"name":"Quantitative Infrared Thermography Journal","volume":"19 1","pages":"41 - 69"},"PeriodicalIF":2.5,"publicationDate":"2020-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/17686733.2020.1805939","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48554718","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 16

Quantitative measurement of cast metal relics by pulsed thermal imaging 用脉冲热成像定量测量铸造金属遗迹

IF 2.5 3区工程技术

Quantitative Infrared Thermography Journal Pub Date : 2020-07-28 DOI: 10.1080/17686733.2020.1799304

N. Tao, Congsi Wang, Cunlin Zhang, Jiangang Sun

{"title":"Quantitative measurement of cast metal relics by pulsed thermal imaging","authors":"N. Tao, Congsi Wang, Cunlin Zhang, Jiangang Sun","doi":"10.1080/17686733.2020.1799304","DOIUrl":"https://doi.org/10.1080/17686733.2020.1799304","url":null,"abstract":"ABSTRACT Corrosion in cast metal relics has always been a concern for the conservation and restoration of ancient culture relics. In recent years, there is an increased interest in the determination of the corrosion/rust thickness and the substrate thickness of bronze and iron cultural relics. The solution of this problem is of great significance in the evaluation of the corrosion status, rust cleaning, and the restoration and conservation of metal cultural relics. This paper presents a new method for the measurement of the rust thickness and the substrate thickness of a replica cast-iron Buddha head by one-sided pulsed thermal imaging. In this method, the rust thickness and the substrate thickness of cast-iron Buddha head were determined simultaneously by a non-linear fitting of a theoretical solution with experimental values. The finite flash duration effect and the finite substrate thickness effect on the rust thickness measurement are analysed and discussed. Besides the new method, the conventional Flash method for single-layer materials was also used to estimate the wall thickness. The measurement results show that this new method has great potential and capability in the quantitative measurement of ancient iron and bronze cultural relics.","PeriodicalId":54525,"journal":{"name":"Quantitative Infrared Thermography Journal","volume":"19 1","pages":"27 - 40"},"PeriodicalIF":2.5,"publicationDate":"2020-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/17686733.2020.1799304","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43505923","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 20