[HTML][HTML] AF-DHNN: fuzzy clustering and inference-based node fault diagnosis method for fire detection
S Jin, W Cui, Z Jin, Y Wang - Sensors, 2015 - mdpi.com
Wireless Sensor Networks (WSNs) have been utilized for node fault diagnosis in the fire
detection field since the 1990s. However, the traditional methods have some problems …
detection field since the 1990s. However, the traditional methods have some problems …
Observer-Based Fault Diagnosis for Fractional-Order Nonlinear Systems
R Martínez-Guerra, F Meléndez-Vázquez… - Fault-tolerant Control …, 2021 - Springer
In recent years, fractional calculus has attracted the interest of the control community in
relation to those physical phenomena which have been modelled as fractional order (FO) …
relation to those physical phenomena which have been modelled as fractional order (FO) …
Validation of an Advanced Diagnostic Methodology for the Identification and Classification of Gas Turbine Sensor Faults by Means of Field Data
L Manservigi, M Venturini… - … Expo: Power for …, 2019 - asmedigitalcollection.asme.org
Sensor fault detection is a crucial aspect for raw data cleaning in gas turbine industry. To this
purpose, a comprehensive approach for Improved Detection, Classification and Integrated …
purpose, a comprehensive approach for Improved Detection, Classification and Integrated …
[HTML][HTML] Fault Diagnosis and Estimation of Dynamical Systems with Application to Gas Turbines
E Naderi - 2016 - spectrum.library.concordia.ca
This thesis contributes and provides solutions to the problem of fault diagnosis and
estimation from three different perspectives which are i) fault diagnosis of nonlinear systems …
estimation from three different perspectives which are i) fault diagnosis of nonlinear systems …
Fault-tolerant control based on iterative learning observer: A descriptor approach
SL Zhao, TJ Zhang, YP Liu - International Journal of Robotics and …, 2017 - actapress.com
International Journal of Robotics and Automation, Vol. 32, No. 2, 2017 FAULT-TOLERANT
CONTROL BASED ON ITERATIVE LEARNING OBSERVER: A DESCRIPTOR APPROACH …
CONTROL BASED ON ITERATIVE LEARNING OBSERVER: A DESCRIPTOR APPROACH …
Terminal observer and disturbance observer for the class of fractional-order chaotic systems
MR Soltanpour, M Shirkavand - Soft Computing, 2020 - Springer
In this paper, a terminal fractional-order observer and a terminal disturbance observer is
proposed to estimate internal states and external disturbances of the class of fractional-order …
proposed to estimate internal states and external disturbances of the class of fractional-order …
[PDF][PDF] DOTTORATO DI RICERCA IN SCIENZE DELL'INGEGNERIA
I MEANS - sfera.unife.it
OBIETTIVO Il monitoraggio e la diagnosi delle turbine a gas sono essenziali e possono
essere efficacemente effettuati solo se i sensori installati forniscono una misura attendibile …
essere efficacemente effettuati solo se i sensori installati forniscono una misura attendibile …
Robust Adaptive Diagnosis for Multiple Faults of Aeroengine Actuator
J Yang, L Gou, H Li - 2021 40th Chinese Control Conference …, 2021 - ieeexplore.ieee.org
To solve the problems of low accuracy and poor robustness of the existing aeroengine multi
fault diagnosis schemes. In this paper, the actuator fault with high fault probability in …
fault diagnosis schemes. In this paper, the actuator fault with high fault probability in …
Diagnosis methods for mechatronic systems
Mechatronic systems are widely used in many industrial applications for their capacity to
improve the production performances. However, due to the complexity of these systems …
improve the production performances. However, due to the complexity of these systems …
Adaptive Sliding Mode Fault Diagnosis for LPV Systems with Uncertain Scheduling Variables
This paper presents an adaptive sliding mode observer for actuator fault diagnosis of linear
parameter-varying (LPV) systems with imperfectly measured scheduling variables due to …
parameter-varying (LPV) systems with imperfectly measured scheduling variables due to …