Studies on fault diagnosis of dissolved oxygen sensor based on GA-SVM

DOI10.3934/MBE.2021021zbMath1471.93203OpenAlexW3112876280MaRDI QIDQ1980073

Jiahui Shi, Ming Sun, Yaguang Yu, Pu Yang, Zhen-Bo Li

Publication date: 3 September 2021

Published in: Mathematical Biosciences and Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.3934/mbe.2021021

zbMATH Keywords

genetic algorithmfault diagnosisdissolved oxygenprediction accuracysupport vector machine

Mathematics Subject Classification ID

Evolutionary algorithms, genetic algorithms (computational aspects) (68W50) Learning and adaptive systems in artificial intelligence (68T05) Application models in control theory (93C95)

Cites Work

• Combined state and least squares parameter estimation algorithms for dynamic systems
• Asymptotic Behaviors of Support Vector Machines with Gaussian Kernel
• Fault diagnosis for satellite sensors and actuators using nonlinear geometric approach and adaptive observers

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