Fault Detection Based On Online Probability Density Function Estimation

DOI10.1002/asjc.1314zbMath1354.93153OpenAlexW2358780693MaRDI QIDQ2960134

Yousef Alipouri, Majid Ghaniee Zarch, Javad Poshtan

Publication date: 7 February 2017

Published in: Asian Journal of Control (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1002/asjc.1314

zbMATH Keywords

fuzzy logicfault detectionkernel density estimationreal-time processingabrupt fault

Mathematics Subject Classification ID

Fuzzy logic; logic of vagueness (03B52) Nonlinear systems in control theory (93C10) Discrete-time control/observation systems (93C55) Estimation and detection in stochastic control theory (93E10)

Uses Software

• KernSmooth

Cites Work

• Fault detection and diagnosis for stochastic systems via output PDFs
• \(H_\infty \) filtering for nonlinear discrete-time stochastic systems with randomly varying sensor delays
• Optimal stochastic fault detection filter.
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• On the Complexity of Steepest Descent, Newton's and Regularized Newton's Methods for Nonconvex Unconstrained Optimization Problems
• Design of fault diagnosis filters and fault-tolerant control for a class of nonlinear systems
• A geometric approach to nonlinear fault detection and isolation
• Fault estimation?a standard problem approach
• Robust control design of non-linear processes using empirical state affine models
• Fault detection and diagnosis for general stochastic systems using B-spline expansions and nonlinear filters
• Nonconcurrent error detection and correction in fault-tolerant discrete-time LTI dynamic systems
• A robust detection and isolation scheme for abrupt and incipient faults in nonlinear systems

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