Soft sensor based on self-organizing interval type-2 fuzzy neural network and its application

Lin Feng; Taoyan Zhao; Yu Shang

doi:10.1117/12.2639705

19 October 2022 Soft sensor based on self-organizing interval type-2 fuzzy neural network and its application

Lin Feng, Taoyan Zhao, Yu Shang

Proceedings Volume 12294, 7th International Symposium on Advances in Electrical, Electronics, and Computer Engineering; 122941Z (2022) https://doi.org/10.1117/12.2639705
Event: 7th International Symposium on Advances in Electrical, Electronics and Computer Engineering (ISAEECE 2022), 2022, Xishuangbanna, China

Abstract

To solve the problem of low accuracy of soft sensor of monitoring variables due to strong nonlinear, multivariable coupling, parameters time-varying and large time delays in complex chemical process, a soft sensor modeling method based on self-organizing interval type-2 fuzzy neural network (SOIT2FNN) is proposed. Firstly, to solve the problem that the structure of interval type 2 neural network (IT2FNN) is difficult to determine, an algorithm for self-organizing generation rules that uses firing strength and rule similarity to define growth and deletion indicators is proposed. The algorithm uses the firing strength to determine whether to generate rules, and deletes the rules according to the similarity, thereby determining the structure of the interval type-2 fuzzy neural network. Secondly, the relevant parameters of the SOIT2FNN model are corrected by the gradient descent algorithm. Finally, SOIT2FNN is used as a soft sensor model to detect the tail oxygen concentration for uncatalysed oxidation of cyclohexane process. The experimental results show that the soft sensor method based on SOIT2FNN model has the advantages of timely detection and high detection accuracy.

Citation Download Citation

Lin Feng, Taoyan Zhao, and Yu Shang "Soft sensor based on self-organizing interval type-2 fuzzy neural network and its application", Proc. SPIE 12294, 7th International Symposium on Advances in Electrical, Electronics, and Computer Engineering, 122941Z (19 October 2022); https://doi.org/10.1117/12.2639705

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