CHF detection using spationtemporal neural network and wavelet transform

Kim, Soo Hyoung; Bang, In Cheol; Baek, Won-Pil; Chang, Soon Heung; Moon, Sang Ki

doi:10.1016/s0735-1933(00)00109-3

Cited by 10 publications

(4 citation statements)

References 3 publications

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“…During CHF experiments, we decide whether the CHF occurs or not by somewhat subjective and qualitative judgment. This judgment can cause the lack of objectivity in experiments [4]. Some researchers [4,5] have applied wavelet transform and edge detection technology in thermal phenomena researches like CHF, and got some attractive achievement.…”

Section: Introductionmentioning

confidence: 99%

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Application and Analysis of Wavelet Transform and Edge Detection in Critical Heat Flux of Natural Circulation

Cheng

Zhou

2011

AMR

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Based on the experimental data obtained in natural circulation experiment in narrow rectangular channel, critical heat flux (CHF) was detected and analyzed through wavelet transform, and the technology of edge detection was applied in the analysis of the photos of CHF which were taken in the experiment. Results showed that the apply of wavelet transform using of db1 wavelet and edge detection using of Canny algorithm could both distinguish the singularity of CHF in one-dimensional temperature signal and regions of dry patch that represented CHF phenomena in two-dimensional photograph accurately, which can provide a new approach in the analysis of CHF experimental research of natural circulation.

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Section: Introductionmentioning

confidence: 99%

“…This judgment can cause the lack of objectivity in experiments [4]. Some researchers [4,5] have applied wavelet transform and edge detection technology in thermal phenomena researches like CHF, and got some attractive achievement. However most of the researches were based on the condition of forced circulation.…”

Section: Introductionmentioning

confidence: 99%

Application and Analysis of Wavelet Transform and Edge Detection in Critical Heat Flux of Natural Circulation

Cheng

Zhou

2011

AMR

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“…So, the detection of the CHF is relatively difficult. Meanwhile, there is some ambiguity of human subjectivity in the experimental decision of CHF occurrence, which may cause the lack of objectivity in experiments [5]. Traditional signal analysis was based on the Fourier transform.…”

Section: Introductionmentioning

confidence: 99%

“…While as Fourier transform can only transform the signal into the one complete belongs to frequency domain, it can hardly detect the frequency conversion point as a result of not having time resolution. Some researchers [5,6] have applied wavelet transform and edge detection technology in thermal phenomena researches like CHF, and got some attractive achievement. However, most of the researches were based on the flowing condition of forced circulation.…”

Section: Introductionmentioning

confidence: 99%

Research on Processing of Signals and Images of Critical Heat Flux in Natural Circulation Based on Wavelet Transform and Edge Detection

Cheng

Zhou

Hong

2011

AMM

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Based on the experimental data acquired from natural circulation experiment, critical heat flux (CHF) was detected through applying Fourier transform and wavelet transform firstly. Then, the technology of edge detection was applied in detecting CHF regions under different heating powers from the photos which were taken in experiment. Results showed that wavelet transform could detect the occurrence of CHF much more accurate than Fourier transform. The apply of wavelet transform using of db1 wavelet and edge detection technology using of Canny algorithm could accurately distinguish the singularity of CHF in one-dimensional temperature signal and dry patch regions that represented CHF phenomena in two-dimensional photographs respectively, which can provide a new approach in the analysis of CHF experimental studies of natural circulation.

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