Bayesian fault probability estimation: application in wind turbine drivetrain sensor fault detection

DOI10.1002/asjc.1973MaRDI QIDQ6563377

Reza Habibi, I. C. Howard, Hamed Habibi

Publication date: 27 June 2024

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

zbMATH Keywords

fault detectionsensor faultfault tolerant controlwind turbineBayesian fault probability

Mathematics Subject Classification ID

Systems theory; control (93-XX)

Cites Work

• Unnamed Item
• An ant colony optimization-based fuzzy predictive control approach for nonlinear processes
• Estimation of a noisy discrete-time step function: Bayes and empirical Bayes approaches
• Actuator and sensor faults estimation based on proportional integral observer for TS fuzzy model
• Convergence of a stochastic approximation version of the EM algorithm
• Fuzzy gain-scheduled active fault-tolerant control of a wind turbine
• Adaptive nonlinear control of wind energy conversion system involving induction generator
• Robust Unknown Input Observer Design for Linear Uncertain Time Delay Systems with Application to Fault Detection
• Simultaneous Actuator and Sensor Faults Reconstruction Based on Robust Sliding Mode Observer for a Class of Nonlinear Systems
• Sensor fault detection and isolation: a game theoretic approach
• Discrete‐time H₋ ∕ H_∞ sensor fault detection observer design for nonlinear systems with parameter uncertainty
• Bayesian Sensor Fault Detection in a Markov Jump System

Related Items (1)

Data-based design of robust fault detection and isolation residuals via LASSO optimization and Bayesian filtering

This page was built for publication: Bayesian fault probability estimation: application in wind turbine drivetrain sensor fault detection