Z
Zhou, Meng
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Zonotopic state estimation and sensor fault detection for a wastewater treatment bioprocess

Abstract

In this paper, a fault diagnosis method for the basic process of microbial growth in wastewater treatment based on interval estimation technology is proposed. First, a nonlinear microbial growth model is converted into a linear time-varying system. A time-varying observer is then designed for the generated system, which takes into account an L-infinity performance. Furthermore, a zonotope-based set-membership estimation algorithm is analyzed to synchronize interval estimation operations. In addition, interval residuals are computed from the generated interval state estimation and fault diagnosis is performed for a wastewater treatment bioprocess with sensor fault signals. Finally, the feasibility of the proposed fault diagnosis strategy for the wastewater treatment bioprocess is illustrated through numerical simulations.

article Article
date_range 2024
language English
link Link of the paper
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Z
Zhou Meng
W
Wu Yan
W
Wang Jing
X
Xue Tonglai
R
Raissi Tarek
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Featured Keywords
bioprocess
fault diagnosis
interval estimation
L-infinity observer
time-varying system
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