Condition monitoring and fault detection of wind turbines and related algorithms: A review
Renewable energy sources like wind energy are copiously available without any limitation.
Wind turbines are used to tap the potential of wind energy, which is available in millions of …
Wind turbines are used to tap the potential of wind energy, which is available in millions of …
A survey of fault detection, isolation, and reconfiguration methods
Fault detection, isolation, and reconfiguration (FDIR) is an important and challenging
problem in many engineering applications and continues to be an active area of research in …
problem in many engineering applications and continues to be an active area of research in …
Graphical methods for diagnosis of dynamic systems
BO Bouamama, G Biswas, R Loureiro… - Annual reviews in …, 2014 - Elsevier
This paper presents an overview of graphical methods used for robust Fault Detection and
Isolation (FDI) that can be employed for monitorability and diagnosability analysis and/or …
Isolation (FDI) that can be employed for monitorability and diagnosability analysis and/or …
Fault detection and diagnosis of an industrial steam turbine using fusion of SVM (support vector machine) and ANFIS (adaptive neuro-fuzzy inference system) …
K Salahshoor, M Kordestani, MS Khoshro - Energy, 2010 - Elsevier
The subject of FDD (fault detection and diagnosis) has gained widespread industrial interest
in machine condition monitoring applications. This is mainly due to the potential advantage …
in machine condition monitoring applications. This is mainly due to the potential advantage …
Decentralized isolation of multiple sensor faults in large-scale interconnected nonlinear systems
V Reppa, MM Polycarpou… - IEEE Transactions on …, 2014 - ieeexplore.ieee.org
This paper presents the design and analysis of a methodology for detecting and isolating
multiple sensor faults in large-scale interconnected nonlinear systems. The backbone of the …
multiple sensor faults in large-scale interconnected nonlinear systems. The backbone of the …
A data-driven health prognostics approach for steam turbines based on xgboost and dtw
Z Que, Z Xu - IEEE Access, 2019 - ieeexplore.ieee.org
A steam turbine is one of the critical components in a power generation system whose
failure may result in unexpected consequences, even catastrophic losses. Thus, the …
failure may result in unexpected consequences, even catastrophic losses. Thus, the …
Fault detection and diagnosis of an industrial steam turbine using a distributed configuration of adaptive neuro-fuzzy inference systems
K Salahshoor, MS Khoshro, M Kordestani - Simulation Modelling Practice …, 2011 - Elsevier
The issue of fault detection and diagnosis (FDD) has gained widespread industrial interest
in process condition monitoring applications. An innovative data-driven FDD methodology …
in process condition monitoring applications. An innovative data-driven FDD methodology …
Sensor fault diagnosis
V Reppa, MM Polycarpou… - … and Trends® in …, 2016 - nowpublishers.com
This tutorial investigates the problem of the occurrence of multiple faults in the sensors used
to monitor and control a network of cyberphysical systems. The goal is to formulate a general …
to monitor and control a network of cyberphysical systems. The goal is to formulate a general …
Bridging control and artificial intelligence theories for diagnosis: A survey
L Travé-Massuyès - Engineering Applications of Artificial Intelligence, 2014 - Elsevier
Diagnosis is the process of identifying or determining the nature and root cause of a failure,
problem, or disease from the symptoms resulting from selected measurements, checks or …
problem, or disease from the symptoms resulting from selected measurements, checks or …
Bond graphs for the diagnosis of chemical processes
B Ould-Bouamama, R El Harabi, MN Abdelkrim… - Computers & chemical …, 2012 - Elsevier
The paper deals with the use of coupled bond graph as an integrated decision tool for health
monitoring of chemical reactors. A bond graph model based diagnostic strategy is adopted …
monitoring of chemical reactors. A bond graph model based diagnostic strategy is adopted …