A review on neurocomputing based wind turbines fault diagnosis and prognosis
Renewable energy, especially wind power energy, has gone through fast growth in the last
decade According to the Global Wind Energy Council (GWEC), the worldwide global …
decade According to the Global Wind Energy Council (GWEC), the worldwide global …
Fault-tolerant controller comparative study and analysis for benchmark two-tank interacting level control system
S Raval, HR Patel, VA Shah - SN Computer Science, 2021 - Springer
In recent times fault-tolerant controller is a prime choice because of the handling capability
of the multifunction into the closed-loop system irrespective of the faults and the external …
of the multifunction into the closed-loop system irrespective of the faults and the external …
Passive fault-tolerant control scheme for nonlinear level control system with parameter uncertainty and actuator fault
In recent time, the use of artificial intelligence techniques in control domain has been
increasing in popularity, and this is mainly due to the incorporating ability of human cognitive …
increasing in popularity, and this is mainly due to the incorporating ability of human cognitive …
Neural network-based control framework for SISO uncertain system: passive fault tolerant approach
This brief deals with fault-tolerant control framework designed for an uncertain SISO level
control system using a neural network. The level control system is common and very …
control system using a neural network. The level control system is common and very …
LPV system modeling with SSNN toolbox
The main objective of this paper is to develop and design a State Space Neural Network
toolbox for a non-linear system modeling with an artificial state-space neural networks …
toolbox for a non-linear system modeling with an artificial state-space neural networks …
Robust MPC for a non-linear system–a neural network approach
The aim of the paper is to design a robust actuator fault-tolerant control for a non-linear
discrete-time system. Considered system is described by the Linear Parameter-Varying …
discrete-time system. Considered system is described by the Linear Parameter-Varying …
SSNN toolbox for non-linear system identification
The aim of this paper is to develop and design a State Space Neural Network toolbox for a
non-linear system identification with an artificial state-space neural networks, which can be …
non-linear system identification with an artificial state-space neural networks, which can be …
Design of sensor and actuator multi model fault detection and isolation system using state space neural networks
A Czajkowski - Journal of Physics: Conference Series, 2015 - iopscience.iop.org
This paper deals with the application of state space neural network model to design a Fault
Detection and Isolation diagnostic system. The work describes approach based on …
Detection and Isolation diagnostic system. The work describes approach based on …