Dimensionless heat transfer model to compress and analyze pulsed thermography data for NDT of materials

Ramirez-Granados, J. C.; Паез, Гонзало; Strojnik, Marija

doi:10.1117/12.777777

Cited by 3 publications

(1 citation statement)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Variants of the TSR-based method include e.g. using alternative fitting technique [4], using alternative heat transfer model [5], and classification of the original sequence into subsequences prior to TSR [6,7]. By its nature, TSR assumes a cooling/heating process and a stationary object under test.…”

Section: Introductionmentioning

confidence: 99%

Real-time compression of high-bandwidth measurement data of thermographic cameras with high temporal and spatial resolution

Wang¹,

Najmabadi²,

Baroud³

et al. 2016

Proceedings of the 2016 International Conference on Quantitative InfraRed Thermography

View full text Add to dashboard Cite

The high temporal and spatial resolution of industrial thermographic cameras creates a rapid growth in the bandwidth of measurement data, such that the bandwidth of widely used standard data transmission links is becoming a performance bottleneck for thermographic systems. This paper proposes the use of real-time compression for the measurement data in future high-performance thermographic cameras. Real-time compression of high-throughput input stream is achieved via a lightweight and low-latency algorithm based on predictive coding. To obtain a high compression ratio while ensuring the quality of compressed data, the compression core exploits image-dependent measurement information such as calibration range and controls the compression quality correspondingly. Experimental results show that the proposed camera integrated thermographic data compression reduces the average required bandwidth by over 85%.

show abstract

Section: Introductionmentioning

confidence: 99%

Real-time compression of high-bandwidth measurement data of thermographic cameras with high temporal and spatial resolution

Wang¹,

Najmabadi²,

Baroud³

et al. 2016

Proceedings of the 2016 International Conference on Quantitative InfraRed Thermography

View full text Add to dashboard Cite

show abstract

Infrared thermography processing based on higher-order statistics

Saavedra

Ibarra-Castanedo

Conde

et al. 2010

NDT & E International

115

View full text Add to dashboard Cite

Enhanced contrast detection of subsurface defects by pulsed infrared thermography based on the fourth order statistic moment, kurtosis

et al. 2009

View full text Add to dashboard Cite

The automatic detection of subsurface defects has become a desired goal in the application of non-destructive testing and evaluation techniques. In this paper, an algorithm based on the fourth order standardised statistic moment, i.e. kurtosis, is proposed for detection and/or characterization of subsurface defects having a thermal diffusivity either higher or lower than the host material. The analysis of thermographic data for the detection of defects can be reduced to the temporal statistics of the thermographic sequence. The final result provided by this algorithm is an image showing the different defects without the necessity of establishing other evaluating parameters such as the delayed time of the first image or the acquisition frequency in the analysis, which are required in other processing techniques. All the information is contained in a single image allowing to discriminate between the defect types (high o low thermal diffusivity). Synthetic data from Thermocalc® and experimental works using a Plexiglas TM specimen were performed showing good agreement. Processed results using synthetic and experimental data with other methods used in the field of thermography for defect detection and/or characterization are provided as well for comparison.

show abstract

Dimensionless heat transfer model to compress and analyze pulsed thermography data for NDT of materials

Cited by 3 publications

References 0 publications

Real-time compression of high-bandwidth measurement data of thermographic cameras with high temporal and spatial resolution

Real-time compression of high-bandwidth measurement data of thermographic cameras with high temporal and spatial resolution

Infrared thermography processing based on higher-order statistics

Enhanced contrast detection of subsurface defects by pulsed infrared thermography based on the fourth order statistic moment, kurtosis

Contact Info

Product

Resources

About