This work discussed the design of a sliding mode observer for the estimation of actuator
faults in a Takagi–Sugeno fuzzy system with digital communication channel. Signals must …

In this study, an efficient strategy for fault detection and isolation (FDI) of an Industrial Gas
Turbine is introduced based on ensemble learning methods. Four independent Wiener …

Nowadays, gas turbines (GTs) are equipped with an increasing number of sensors, of which
the acquired data are used for monitoring and diagnostic purposes. Therefore, anomaly …

In recent years, using autonomous underwater vehicles (AUVs) for submarine missions has
increased substantially. One of the problems in controlling these nonlinear devices is the …

This article deals with the problem of adaptive estimation, that is, the simultaneous
estimation of the state and time‐varying parameters, in the presence of measurement noise …

In this paper, a multiple model (MM)-based detection and estimation scheme for gas turbine
sensor and gas path fault diagnosis is proposed, which overcomes the coupling effects …

This work presents the design of a current-sensor fault detection and isolation system for
induction-motor drives. A differential geometric approach is addressed to determine if faults …

Attracted by the advantages of support vector regression and incremental learning
approach, it is proposed in this work that an incremental support vector regression (ISVR) …

This paper presents a new diagnosis view of fuel cell water management. The faults related
to water management in the fuel cell are addressed from the control point of view and their …

Measurements quality is important for process systems engineering. In this paper, an
estimation scheme is proposed in the state-space form to monitor the degree of accuracy of …