Condition monitoring and fault detection of wind turbines and related algorithms: A review

Z Hameed, YS Hong, YM Cho, SH Ahn… - … and Sustainable energy …, 2009 - Elsevier
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 …

A survey of fault detection, isolation, and reconfiguration methods

I Hwang, S Kim, Y Kim, CE Seah - IEEE transactions on control …, 2009 - ieeexplore.ieee.org
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 …

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 …

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 …

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 …

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 …

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 …

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 …

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 …

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 …