Quantitative Infrared Thermography Journal最新文献_第9页

Lock-in thermography for analyzing solar cells and failure analysis in other electronic components 锁定热成像用于分析太阳能电池和其他电子元件的失效分析

IF 2.5 3区工程技术

Quantitative Infrared Thermography Journal Pub Date : 2019-02-22 DOI: 10.1080/17686733.2018.1563349

O. Breitenstein, Steffen Sturm

引用次数: 15

Applicability analysis of IR thermography and discrete wavelet transform for technical conditions assessment of bridge elements 红外热成像与离散小波变换在桥梁构件技术条件评估中的适用性分析

IF 2.5 3区工程技术

Quantitative Infrared Thermography Journal Pub Date : 2019-01-02 DOI: 10.1080/17686733.2018.1480307

L. Różański, K. Ziopaja

引用次数: 6

Method of classification of global machine conditions based on spectral features of infrared images and classifiers fusion 基于红外图像光谱特征和分类器融合的全局机器状态分类方法

IF 2.5 3区工程技术

Quantitative Infrared Thermography Journal Pub Date : 2019-01-02 DOI: 10.1080/17686733.2018.1557453

M. Fidali, W. Jamrozik

引用次数: 6

Material classification with laser thermography and machine learning 利用激光热成像和机器学习进行材料分类

IF 2.5 3区工程技术

Quantitative Infrared Thermography Journal Pub Date : 2018-12-20 DOI: 10.1080/17686733.2018.1539895

Tamás Aujeszky, Georgios Korres, M. Eid

引用次数: 13

Mineral identification in LWIR hyperspectral imagery applying sparse-based clustering 基于稀疏聚类的LWIR高光谱图像矿物识别

IF 2.5 3区工程技术

Quantitative Infrared Thermography Journal Pub Date : 2018-12-04 DOI: 10.1080/17686733.2018.1550902

B. Yousefi, C. Castanedo, Émilie Bédard, G. Beaudoin, X. Maldague

{"title":"Mineral identification in LWIR hyperspectral imagery applying sparse-based clustering","authors":"B. Yousefi, C. Castanedo, Émilie Bédard, G. Beaudoin, X. Maldague","doi":"10.1080/17686733.2018.1550902","DOIUrl":"https://doi.org/10.1080/17686733.2018.1550902","url":null,"abstract":"ABSTRACT An assessment of mineral identification applying hyperspectral infrared imagery in laboratory conditions is presented here and strives to identify nine different minerals (biotite, diopside, epidote, goethite, kyanite, scheelite, smithsonite, tourmaline, quartz). A hyperspectral camera in Long-Wave Infrared (LWIR, 7.7–11.8 m) with a LW-macro lens, an infragold plate, and a heating source are instruments used in the experiment. For automated identification, a Sparse Principal Component Analysis (Sparse PCA)-based K-means clustering is employed to categorise all pixel-spectra in different groups. Then the best representatives of each cluster (using spectral averaging) are chosen to compare these spectra to ASTER spectral library of JPL/NASA through spectral comparison techniques. Spectral angle mapper (SAM) and Normalized Cross Correlation (NCC) are two of such techniques, which are used herein to measure the spectral difference. In order to evaluate robustness of clustering results among the minerals spectra, we have added three levels of Gaussian and salt&pepper noise, , and , to input spectra which dropped the accuracy percentage from more than 84.73, for 0 added noise, to 44.57, for 2 average of both additive noise, and 22.21, for 4 additive noise. The results conclusively indicate a promising performance but noise sensitive behaviour of the proposed approach.","PeriodicalId":54525,"journal":{"name":"Quantitative Infrared Thermography Journal","volume":"16 1","pages":"147 - 162"},"PeriodicalIF":2.5,"publicationDate":"2018-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/17686733.2018.1550902","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47597470","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: 7

The correlation between tympanic membrane temperature and specific region of face temperature 鼓膜温度与面部特定区域温度的相关性

IF 2.5 3区工程技术

Quantitative Infrared Thermography Journal Pub Date : 2018-11-28 DOI: 10.1080/17686733.2018.1497877

Dongho Kim, Ho Yeol Zhang, Jee H. Yoo, Yoon Soon Park, Hyeon Jin Song, Kyung Hwa Yang

{"title":"The correlation between tympanic membrane temperature and specific region of face temperature","authors":"Dongho Kim, Ho Yeol Zhang, Jee H. Yoo, Yoon Soon Park, Hyeon Jin Song, Kyung Hwa Yang","doi":"10.1080/17686733.2018.1497877","DOIUrl":"https://doi.org/10.1080/17686733.2018.1497877","url":null,"abstract":"ABSTRACT Facial temperature measurements using infrared thermography (IRT) will be allowed screening travellers with high fever quickly and safely at airports or national borders if we have the formula for calculating tympanic temperature or reference standard temperature tables. This study was conducted to investigate whether the recommended position in the ISO guidelines for facial themograms measured by IRT best reflects tympanic temperature or whether other specific areas are better represented. Data were collected from NHIS Ilsan Hospital from August 2016 to December 2016. A total of 508 subjects were included in this study. The six regions of interest (ROI) of eye (medial canthus, cornea, sclera between medial canthus and cornea both side) and one ROI of inter-brow of face were defined, (as shown in figure 1) where the temperatures were measured. These values were compared with the eardrum temperature. The results showed that the tympanic membrane temperature and medial canthus were the most similar. And a model to predict tympanic temperature through statistical bias correction can be developed.","PeriodicalId":54525,"journal":{"name":"Quantitative Infrared Thermography Journal","volume":"16 1","pages":"1 - 7"},"PeriodicalIF":2.5,"publicationDate":"2018-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/17686733.2018.1497877","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41824112","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: 8

Experimental study of an effect of plastic deformation on thermal properties of stainless steel 塑性变形对不锈钢热性能影响的实验研究

IF 2.5 3区工程技术

Quantitative Infrared Thermography Journal Pub Date : 2018-11-26 DOI: 10.1080/17686733.2018.1514712

M. Zhelnin, A. Iziumova, A. Vshivkov, O. Plekhov

引用次数: 4

Management of local multi-sensors applied to SHM and long-term infrared monitoring: Cloud2IR implementation 用于SHM和长期红外监测的本地多传感器管理:Cloud2IR实现

IF 2.5 3区工程技术

Quantitative Infrared Thermography Journal Pub Date : 2018-10-26 DOI: 10.1080/17686733.2018.1519752

A. Crinière, J. Dumoulin, L. Mevel

{"title":"Management of local multi-sensors applied to SHM and long-term infrared monitoring: Cloud2IR implementation","authors":"A. Crinière, J. Dumoulin, L. Mevel","doi":"10.1080/17686733.2018.1519752","DOIUrl":"https://doi.org/10.1080/17686733.2018.1519752","url":null,"abstract":"ABSTRACT Cloud2IR is an autonomous software architecture, allowing multi-sensor connection, dedicated to the long-term thermal monitoring of infrastructures. It has benefited of past experimental knowledge acquired in various research projects to redefine a lighter architecture using generic standards, more appropriated to autonomous operations in the field, and that can be later included in a wide distributed architecture. The system has been developed in order to cut down software integration time facilitating the system adaptation to each experiment specificities. After a detailed presentation of data standards, our bi-headed architecture is presented. First, a generic unit, a data management side able to aggregate any sensor data, type or size, automatically encapsulating them in various generic data format such as hierarchical data format or cloud data such as opengis standard. This whole part is also in charge of the acquisition scenario, the local storage management and the network management. Second, a specialised unit where the sensor specific development fitted to experimental requirements are addressed. The system has been deployed on two test sites for more than one year. It aggregates various sensor data issued from infrared thermal cameras, GPS units, pyranometers, weather stations, etc. The software and some results in outdoor conditions are discussed.","PeriodicalId":54525,"journal":{"name":"Quantitative Infrared Thermography Journal","volume":"16 1","pages":"55 - 73"},"PeriodicalIF":2.5,"publicationDate":"2018-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/17686733.2018.1519752","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43656632","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: 3

In situ thermoelastic stress analysis – an improved approach to airframe structural model validation 原位热弹性应力分析——一种改进的机身结构模型验证方法

IF 2.5 3区工程技术

Quantitative Infrared Thermography Journal Pub Date : 2018-09-06 DOI: 10.1080/17686733.2018.1497898

N. Rajic, David McSwiggen, M. Mcdonald, Don Whiteley

{"title":"In situ thermoelastic stress analysis – an improved approach to airframe structural model validation","authors":"N. Rajic, David McSwiggen, M. Mcdonald, Don Whiteley","doi":"10.1080/17686733.2018.1497898","DOIUrl":"https://doi.org/10.1080/17686733.2018.1497898","url":null,"abstract":"ABSTRACT The recent adaptation of uncooled infrared imaging technology to thermoelastic stress analysis (TSA) offers an opportunity to improve the validation basis for structural finite element modelling of complex airframe components. Uncertainties in modelling can lead to inaccurate airframe lifing predictions and premature test failures that delay and add cost to aircraft full-scale durability test programs. Traditional model validation practice relies on data drawn primarily from discrete strain gauge, structural deflection and load-cell measurements. Supplementing this data with full-field stress imagery is shown to lead to a significantly improved model validation capability. After reviewing the fundamentals of TSA and its application using uncooled infrared detectors this article describes an experimental study conducted on an F-35 full-scale durability test airframe. It is shown that small low-cost microbolometers installed on the airframe provide a rapid and unobtrusive means of obtaining high-fidelity full-field stress imagery of complex airframe components. Such data enables a direct and rapid assessment of model accuracy in areas of potentially life-limiting stress concentration where predictive accuracy needs to be most assured but has traditionally been difficult to verify using the established model validation approach. Issues of general relevance to the application of TSA to full-scale durability testing are also discussed.","PeriodicalId":54525,"journal":{"name":"Quantitative Infrared Thermography Journal","volume":"16 1","pages":"34 - 8"},"PeriodicalIF":2.5,"publicationDate":"2018-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/17686733.2018.1497898","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47005723","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: 7

Sonic IR crack size estimation using 2D heat diffusion model with arbitrary heat source function along the crack 基于二维热扩散模型的声波红外裂纹尺寸估计

IF 2.5 3区工程技术

Quantitative Infrared Thermography Journal Pub Date : 2018-05-22 DOI: 10.1080/17686733.2018.1463011

B. Abu-Nabah, S. Al-Said

{"title":"Sonic IR crack size estimation using 2D heat diffusion model with arbitrary heat source function along the crack","authors":"B. Abu-Nabah, S. Al-Said","doi":"10.1080/17686733.2018.1463011","DOIUrl":"https://doi.org/10.1080/17686733.2018.1463011","url":null,"abstract":"Abstract Over the past decade, sonic infrared (IR) has been gaining rapid popularity in fatigue crack detection. Accuracy and robustness of crack size estimation using existing temperature-based image processing techniques are rather limited due to the absence of analytical solutions describing the heat diffusion around the crack. In this study, a 2D heat diffusion model with an arbitrary heat source function along a crack line is developed to make the technique more practical and capture the random nature of heat generation along the crack. The validity of the forward 2D heat diffusion model is established in close comparison with 2D finite element (FE) results. The validated analytical solution is used as a basis for best-fit analysis to retrieve the arbitrary heat source functions along the crack, which are used to estimate crack sizes. Using the 2D FE simulations with and without random temperature uncertainties, the proposed method delivers high accuracy in estimating crack sizes. Moreover, the accuracy in estimating crack sizes is validated using experimental sonic IR data. This makes it a practical approach to unlock the potential capabilities and limitations of sonic IR inspection technology.","PeriodicalId":54525,"journal":{"name":"Quantitative Infrared Thermography Journal","volume":"15 1","pages":"271 - 290"},"PeriodicalIF":2.5,"publicationDate":"2018-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/17686733.2018.1463011","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46319680","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: 8