Research on design method of self-diagnosis sensor without reference value

被引：0
|
作者：
Jiang D.-N. [1 ,2 ]
Gao Y.-X. [1 ,2 ]
机构：
[1] College of Electrical and Information Engineering, Lanzhou University of Technology, Lanzhou Gansu
[2] Key Laboratory of Gansu Advanced Control for Industrial Processes, Lanzhou Gansu
来源：
Kongzhi Lilun Yu Yingyong/Control Theory and Applications | 2023年 / 40卷 / 09期
基金：
中国国家自然科学基金;
关键词：
bayesian inference; redundancy; self-diagnosis sensor; transfer entropy;
D O I：
10.7641/CTA.2022.20184
中图分类号：
学科分类号：
摘要：
Aiming at the problem that it is difficult to obtain the reference value of sensors in fault diagnosis in industrial field, a design method of self-diagnosis sensors without reference value based on the Bayesian inference is proposed. Firstly, the transfer entropy method is used to quantitatively evaluate the redundant relationship between sensors, and the sensor fault statistical model is established with the help of β-binomial distribution. Secondly, the Bayesian inference is used to design the fault self-diagnosis algorithm for the sensor measurement system with and without reference value. For the sensor measurement system without reference value, the output classification index is introduced for self-learning to obtain the health status of the sensor. Finally, taking the temperature measurement system in the nickel flash furnace as an example, the feasibility and effectiveness of the proposed method are verified. © 2023 South China University of Technology. All rights reserved.
引用
收藏
页码：1576 / 1584
页数：8
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