Fault detection and isolation of gas turbine using series–parallel NARX model
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Title
Fault detection and isolation of gas turbine using series–parallel NARX model
Authors
Keywords
Nonlinear system, Model-based, Fault identification, Gas turbine, NARX model
Journal
ISA TRANSACTIONS
Volume -, Issue -, Pages -
Publisher
Elsevier BV
Online
2021-03-20
DOI
10.1016/j.isatra.2021.03.019
References
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- (2017) Purushottam Gangsar et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- The NARX Model-Based System Identification on Nonlinear, Rotor-Bearing Systems
- (2017) Ying Ma et al. Applied Sciences-Basel
- A dynamic prognosis scheme for flexible operation of gas turbines
- (2016) Elias Tsoutsanis et al. APPLIED ENERGY
- A comparative study of artificial neural network (MLP, RBF) and support vector machine models for river flow prediction
- (2016) Mohammad Ali Ghorbani et al. Environmental Earth Sciences
- Data-based fault-tolerant control for affine nonlinear systems with actuator faults
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- An ensemble of dynamic neural network identifiers for fault detection and isolation of gas turbine engines
- (2016) M. Amozegar et al. NEURAL NETWORKS
- Thermoelectric Devices for Power Generation: Recent Progress and Future Challenges
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- Adaptive sliding mode observer for sensor fault diagnosis of an industrial gas turbine
- (2015) Sandy Rahme et al. CONTROL ENGINEERING PRACTICE
- Performance evaluation of classification algorithms by k-fold and leave-one-out cross validation
- (2015) Tzu-Tsung Wong PATTERN RECOGNITION
- Dynamic neural network-based fault diagnosis of gas turbine engines
- (2013) S. Sina Tayarani-Bathaie et al. NEUROCOMPUTING
- An integrated nonlinear model-based approach to gas turbine engine sensor fault diagnostics
- (2013) Feng Lu et al. PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART G-JOURNAL OF AEROSPACE ENGINEERING
- Robust Adaptive Fault Estimation for a Class of Nonlinear Systems Subject to Multiplicative Faults
- (2012) Chunyan Gao et al. CIRCUITS SYSTEMS AND SIGNAL PROCESSING
- Robust Fault Diagnosis of Aircraft Engines: A Nonlinear Adaptive Estimation-Based Approach
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- A Multiple Model-Based Approach for Fault Diagnosis of Jet Engines
- (2012) N. Meskin et al. IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY
- Model-based robust fault detection and isolation of an industrial gas turbine prototype using soft computing techniques
- (2012) Hasan Abbasi Nozari et al. NEUROCOMPUTING
- Advantages of Radial Basis Function Networks for Dynamic System Design
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- Optimal residual evaluation for nonlinear systems using post-filter and threshold
- (2011) M. Abid et al. INTERNATIONAL JOURNAL OF CONTROL
- Fault diagnosis of a class of nonlinear uncertain systems with Lipschitz nonlinearities using adaptive estimation
- (2010) Xiaodong Zhang et al. AUTOMATICA
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- (2008) Xiaodong Zhang et al. ANNUAL REVIEWS IN CONTROL
- Improving classification performance of sonar targets by applying general regression neural network with PCA
- (2007) B ERKMEN et al. EXPERT SYSTEMS WITH APPLICATIONS
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