Online monitoring of oil film using electrical capacitance tomography and level set method.
In the application of oil-air lubrication system, electrical capacitance tomography (ECT) provides a promising way for monitoring oil film in the pipelines by reconstructing cross sectional oil distributions in real time. While in the case of small diameter pipe and thin oil film, the thickness of the oil film is hard to be observed visually since the interface of oil and air is not obvious in the reconstructed images. And the existence of artifacts in the reconstructions has seriously influenced the effectiveness of image segmentation techniques such as level set method. Besides, level set method is also unavailable for online monitoring due to its low computation speed. To address these problems, a modified level set method is developed: a distance regularized level set evolution formulation is extended to image two-phase flow online using an ECT system, a narrowband image filter is defined to eliminate the influence of artifacts, and considering the continuity of the oil distribution variation, the detected oil-air interface of a former image can be used as the initial contour for the detection of the subsequent frame; thus, the propagation from the initial contour to the boundary can be greatly accelerated, making it possible for real time tracking. To testify the feasibility of the proposed method, an oil-air lubrication facility with 4 mm inner diameter pipe is measured in normal operation using an 8-electrode ECT system. Both simulation and experiment results indicate that the modified level set method is capable of visualizing the oil-air interface accurately online.
College of Aeronautical Automation, Civil Aviation University of China, Tianjin 300300, People's Republic of China.
Q
Q
Xue
School of Electrical Engineering and Automation, Tianjin University, Tianjin 300072, People's Republic of China.
B Y
BY
Sun
School of Electrical Engineering and Automation, Tianjin University, Tianjin 300072, People's Republic of China.
Z Q
ZQ
Cui
College of Aeronautical Automation, Civil Aviation University of China, Tianjin 300300, People's Republic of China.
M
M
Ma
School of Electrical Engineering and Automation, Tianjin University, Tianjin 300072, People's Republic of China.
H X
HX
Wang