Lubricating Oil Monitoring Based on Improved Split Bregman of Electrical Capacitance Tomography

被引：0

作者：

Ma M. ^{[1
]}

Sun M.-J. ^{[1
]}

机构：

[1] School of Electronic Information and Automation, Civil Aviation University of China, Tianjin

来源：

Tuijin Jishu/Journal of Propulsion Technology | 2022年 / 43卷 / 05期

关键词：

Electrical capacitance tomography; Image reconstruction algorithm; L[!sub]p[!/sub] norm; Lubricating oil monitoring; Lubricating oil system;

D O I：

10.13675/j.cnki.tjjs.200311

中图分类号：

学科分类号：

摘要：

Aiming at the ill-posedness in the image reconstruction process of Electrical Capacitance Tomography (ECT), when it is applied to the online wear debris monitoring in the lubricating oil system, a Split Bregman (SB) image reconstruction algorithm based on iterative p-threshold function is proposed. Firstly, the ECT image reconstruction model based on SB algorithm is established.Secondly, the SB model based on Lp norm is established.Finally, in order to more conveniently solve the threshold iteration form of Lp regularization, a p-threshold function is introduced.By choosing the p value flexibly, the accuracy and applicability of the SB algorithm are improved. Simulation results show that compared with Landweber, Tikhonov regularization and SB algorithm, the image error of improved SB algorithm is reduced by about 30%, the correlation coefficient is up to 0.96, and the imaging speed is similar to that of Landweber.The experimental results show that the improved SB algorithm can be competent for the image reconstruction task and improves the imaging quality. © 2022, Editorial Department of Journal of Propulsion Technology. All right reserved.

引用

页码：285 / 291

页数：6

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