Abstract
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.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
