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Ron J. Patton
Researcher at University of Hull
Publications - 359
Citations - 20222
Ron J. Patton is an academic researcher from University of Hull. The author has contributed to research in topics: Fault detection and isolation & Robustness (computer science). The author has an hindex of 57, co-authored 351 publications receiving 19210 citations. Previous affiliations of Ron J. Patton include Universities UK & York University.
Papers
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Journal ArticleDOI
Simultaneous State and Fault Estimation for Descriptor Systems using an Augmented PD Observer
Fengming Shi,Ron J. Patton +1 more
TL;DR: In this article, an augmented Proportional plus Derivative (PD) state estimator is proposed to achieve simultaneous system state and fault estimation of descriptor systems without model uncertainty, followed by a discussion of a general situation where the system model is subject to external disturbance or sensor noise.
Journal ArticleDOI
An eigenstructure assignment approach to FDI for the industrial actuator benchmark test
TL;DR: In this article, the authors examined the robustness of observer-based fault-detection and isolation scheme applied to the industrial actuator benchmark problem, where the observer is designed using eigenstructure assignment.
Journal ArticleDOI
On Sensitivity of Robust Fault Detection Observers
Ron J. Patton,M. Hou +1 more
TL;DR: In this paper, a sensitivity measure of robust fault observers is proposed, which is proved to be a well-defined norm, and a design method for sensitive/robust fault detection observers has been introduced.
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Neuro-fuzzy based fault diagnosis applied to an electro-pneumatic valve
TL;DR: In this paper, the properties of the TSK/Mamdani approaches and neuro-fuzzy (NF) fault diagnosis within an application study of an electro-pneumatic valve actuator in a sugar factory are discussed.
Proceedings ArticleDOI
A robust disturbance decoupling approach to fault detection in process systems
TL;DR: In this article, the authors present a robust fault detection approach based on eigenstructure assignment in the discrete-time domain, which assigns the left eigenvectors of the observer orthogonal to the disturbance, and uses this direction as that of the direction of unknown input acting on a fourth-order model.