Nuclear power plants are critical facilities, which can generate a lot of energy through
nuclear power and reduce environmental pollution. At the same time, should an accident …

The principal component analysis (PCA) method has been widely used in sensor fault
detection. However, outliers of training data may affect the projection directions of both …

In this paper, the unknown input observer (UIO) design for singular delayed linear parameter
varying (LPV) systems is considered regarding its application to actuator fault detection and …

This article presents a novel unknown input observer (UIO)-integrated extended finite
impulse response (EFIR) estimator and its application for an effective sensor fault-tolerant …

In the modern industry, electro-hydraulic actuators (EHAs) have been applied to various
applications for precise position pressure/force control tasks. However, operating EHAs …

This paper proposes a new hybrid data-driven soft measurement modeling method for
power plant sensor condition monitoring and fault diagnosis. The method integrates …

This article presents necessary and sufficient conditions for the existence and design of an
unknown input Functional observer. The existence of the observer can be verified by …

In this paper, two new fault detection methods are proposed for non-linear systems. The
proposed methods are based on combining an extended Kalman filter (EKF) and an …

Under the vast variety of fuzzy model-based observers reported in the literature, what would
be the properone to be used for fault detection in a class of chemical reactor? In this study …

A state observer is a system that models a real system in order to provide an estimate of the
internal state of the system. The design techniques and comparison of four different types of …