Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Yu-lin Jiao"'
Publikováno v:
Cybernetics and Information Technologies. 16:116-125
Traditional wavelet denoising method cannot eliminate complex high-pressure pipe signals effectively. In the updated wavelet adaptive algorithm, this thesis defines the constraints in order to reconstruct the signals accurately. According to the mini
Publikováno v:
International Journal of Heat and Technology. 33:143-150
Autor:
Xin-hua Wang, Yu-lin Jiao
Publikováno v:
Mathematical Modelling of Engineering Problems. 2:5-8
Publikováno v:
International Journal of Heat and Technology. 33:137-144
Publikováno v:
2016 International Conference on Robots & Intelligent System (ICRIS).
This paper mainly studies the principle and key technology of acoustic emission signal wavelet denoising method, and conducted a comparative analysis on three kinds of wavelet denoising algorithm, while the wavelet function, threshold method in the t
Publikováno v:
2016 International Conference on Robots & Intelligent System (ICRIS).
In this paper, experimental and numerical analysis on leakage through the heater inner tube, inner tube, with the study of leakage pressure leakage aperture size, propagation distance and the outer tube of liquid acoustic emission signal of the statu
Experimental Study on the Gas-Liquid Heat Transfer Enhancement under the Influence of Magnetic Field
Publikováno v:
2010 International Conference on Intelligent System Design and Engineering Application.
A series of experiments of pool boiling are carried out and many groups of experimental data are obtained at different heat flux and magnetic strength. The results show that the greater magnetic strength is, the temperature rising rate of the sample
Publikováno v:
International Journal of Sensor Networks. 20:111
This paper studied the detection of pipeline corrosion crack acoustic emission signal, using a Nielsen-Hsu pencil break method to simulate the fault detection of lead pipe crack. According to the actual detection phenomenon and the collected data, th