Adaptive intelligent techniques for microgrid control systems: A survey
This paper introduces a survey on the adaptive and intelligent methods that have been
applied to microgrids systems. Interestingly, the adaptive technique is effectively exercised …
applied to microgrids systems. Interestingly, the adaptive technique is effectively exercised …
Sensor fault detection, isolation, and identification using multiple-model-based hybrid Kalman filter for gas turbine engines
B Pourbabaee, N Meskin… - IEEE Transactions on …, 2015 - ieeexplore.ieee.org
In this paper, a novel sensor fault detection, isolation, and identification (FDII) strategy is
proposed using the multiple-model (MM) approach. The scheme is based on multiple hybrid …
proposed using the multiple-model (MM) approach. The scheme is based on multiple hybrid …
A new sensor fault diagnosis method for gas leakage monitoring based on the naive Bayes and probabilistic neural network classifier
Gas monitoring sensor is prone to failure and its fault type is difficult to identify due to harsh
working condition. In this work, a new sensor fault diagnosis method for gas leakage …
working condition. In this work, a new sensor fault diagnosis method for gas leakage …
Online probabilistic estimation of sensor faulty signal in industrial processes and its applications
In this article, an online estimator for faulty sensor signal is proposed for industrial processes
described by nonlinear state-space models. The potential sensor fault is modeled as an …
described by nonlinear state-space models. The potential sensor fault is modeled as an …
Fault detection and isolation of gas turbine using series–parallel NARX model
This paper describes the design and implementation of intelligent dynamic models for fault
detection and isolation of V94. 2 (5)/MGT-70 (2) single-axis heavy-duty gas turbine system …
detection and isolation of V94. 2 (5)/MGT-70 (2) single-axis heavy-duty gas turbine system …
A review on the progress, challenges and prospects in the modeling, simulation, control and diagnosis of thermodynamic systems
D Zhou, D Huang - Advanced Engineering Informatics, 2024 - Elsevier
Thermodynamic systems play an inestimable role in engineering applications. With the
rising demands for information and automation in operation and maintenance in …
rising demands for information and automation in operation and maintenance in …
Adaptive fault tolerant control and thruster fault reconstruction for autonomous underwater vehicle
X Liu, M Zhang, F Yao - Ocean Engineering, 2018 - Elsevier
This paper investigates adaptive fault tolerant control and fault reconstruction problem for
AUV subject to ocean current disturbance and modelling uncertainty. At first, a virtual closed …
AUV subject to ocean current disturbance and modelling uncertainty. At first, a virtual closed …
A digital twin for operational evaluation of vertical transportation systems
M Gonzalez, O Salgado, J Croes, B Pluymers… - Ieee …, 2020 - ieeexplore.ieee.org
The Digital Twin (DT) is a promising concept which aims at creating a virtual replica of an
individual system, that can provide information otherwise not available. This paper presents …
individual system, that can provide information otherwise not available. This paper presents …
Nonlinear robust fault diagnosis of power plant gas turbine using Monte Carlo-based adaptive threshold approach
This paper addresses the robust fault diagnosis of power plant gas turbine as an uncertain
nonlinear system using a new adaptive threshold method. In order to determine the bounds …
nonlinear system using a new adaptive threshold method. In order to determine the bounds …
Robust diagnosis with high protection to gas turbine failures identification based on a fuzzy neuro inference monitoring approach
Modern industry requires the development of new monitoring and diagnostic procedures,
which enable the detection, localization, and isolation of faults. For sustainable solutions in …
which enable the detection, localization, and isolation of faults. For sustainable solutions in …