Dynamic system identification and model-based fault diagnosis of an industrial gas turbine prototype

Silvio Simani; Cesare Fantuzzi

doi:10.1016/j.mechatronics.2006.01.002

Dynamic system identification and model-based fault diagnosis of an industrial gas turbine prototype

Mechatronics ◽

10.1016/j.mechatronics.2006.01.002 ◽

2006 ◽

Vol 16 (6) ◽

pp. 341-363 ◽

Cited By ~ 42

Author(s):

Silvio Simani ◽

Cesare Fantuzzi

Keyword(s):

Fault Diagnosis ◽

System Identification ◽

Dynamic System ◽

Gas Turbine ◽

Model Based ◽

Industrial Gas Turbine

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Fault diagnosis of an industrial gas turbine prototype using a system identification approach

Control Engineering Practice ◽

10.1016/j.conengprac.2007.08.009 ◽

2008 ◽

Vol 16 (7) ◽

pp. 769-786 ◽

Cited By ~ 48

Author(s):

S. Simani ◽

Ron J. Patton

Keyword(s):

Fault Diagnosis ◽

System Identification ◽

Gas Turbine ◽

Identification Approach ◽

Industrial Gas Turbine

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Model-based fault diagnosis approaches with application to an industrial gas turbine simulator

2009 European Control Conference (ECC) ◽

10.23919/ecc.2009.7074973 ◽

2009 ◽

Author(s):

Silvio Simani ◽

Ron J. Patton

Keyword(s):

Fault Diagnosis ◽

Gas Turbine ◽

Model Based ◽

Industrial Gas Turbine

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Fault diagnosis of a simulated industrial gas turbine via identification approach

International Journal of Adaptive Control and Signal Processing ◽

10.1002/acs.924 ◽

2007 ◽

Vol 21 (4) ◽

pp. 326-353 ◽

Cited By ~ 5

Author(s):

S. Simani

Keyword(s):

Fault Diagnosis ◽

Gas Turbine ◽

Identification Approach ◽

Industrial Gas Turbine

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Improving Model-Based Gas Turbine Fault Diagnosis Using Multi-Operating Point Method

2010 Fourth UKSim European Symposium on Computer Modeling and Simulation ◽

10.1109/ems.2010.47 ◽

2010 ◽

Cited By ~ 3

Author(s):

Amin Salar ◽

Seyed Mehrdad Hosseini ◽

Behnam Rezaei Zangmolk ◽

Ali Khaki Sedigh

Keyword(s):

Fault Diagnosis ◽

Gas Turbine ◽

Point Method ◽

Operating Point ◽

Model Based

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V94.2 industrial gas turbine compressor fouling detection based on system identification methods, neural networks and experimental data

2017 Iranian Conference on Electrical Engineering (ICEE) ◽

10.1109/iraniancee.2017.7985130 ◽

2017 ◽

Cited By ~ 1

Author(s):

Sahar Rahimi Malekshan ◽

Mahdi Aliyari Shoorehdeli ◽

Mostafa Yari

Keyword(s):

Experimental Data ◽

Neural Networks ◽

System Identification ◽

Gas Turbine ◽

Identification Methods ◽

Gas Turbine Compressor ◽

Industrial Gas Turbine

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Adaptive sliding mode observer for sensor fault diagnosis of an industrial gas turbine

Control Engineering Practice ◽

10.1016/j.conengprac.2015.01.006 ◽

2015 ◽

Vol 38 ◽

pp. 57-74 ◽

Cited By ~ 52

Author(s):

Sandy Rahme ◽

Nader Meskin

Keyword(s):

Fault Diagnosis ◽

Gas Turbine ◽

Sliding Mode ◽

Sliding Mode Observer ◽

Sensor Fault ◽

Adaptive Sliding Mode ◽

Industrial Gas Turbine

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Model-based robust fault detection and isolation of an industrial gas turbine prototype using soft computing techniques

Neurocomputing ◽

10.1016/j.neucom.2012.02.014 ◽

2012 ◽

Vol 91 ◽

pp. 29-47 ◽

Cited By ~ 32

Author(s):

Hasan Abbasi Nozari ◽

Mahdi Aliyari Shoorehdeli ◽

Silvio Simani ◽

Hamed Dehghan Banadaki

Keyword(s):

Fault Detection ◽

Gas Turbine ◽

Soft Computing ◽

Fault Detection And Isolation ◽

Model Based ◽

Robust Fault Detection ◽

Soft Computing Techniques ◽

Industrial Gas Turbine

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Identification and fault diagnosis of an industrial gas turbine prototype model

Proceedings of the 39th IEEE Conference on Decision and Control (Cat. No.00CH37187) ◽

10.1109/cdc.2000.914199 ◽

2002 ◽

Cited By ~ 1

Author(s):

S. Simani ◽

R.J. Patton ◽

S. Daley ◽

A. Pike

Keyword(s):

Fault Diagnosis ◽

Gas Turbine ◽

Prototype Model ◽

Industrial Gas Turbine

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Model based approach and algorithm for fault diagnosis and prognosis of coated gas turbine blades

2010 IEEE/ASME International Conference on Advanced Intelligent Mechatronics ◽

10.1109/aim.2010.5695799 ◽

2010 ◽

Cited By ~ 2

Author(s):

Amar Kumar ◽

Alka Srivastava ◽

Nita Goel ◽

Amiya Nayak

Keyword(s):

Fault Diagnosis ◽

Gas Turbine ◽

Turbine Blades ◽

Gas Turbine Blades ◽

Model Based ◽

Diagnosis And Prognosis ◽

Fault Diagnosis And Prognosis

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Model-based Fault Detection and Isolation Using Neural Networks: An Industrial Gas Turbine Case Study

2011 21st International Conference on Systems Engineering ◽

10.1109/icseng.2011.13 ◽

2011 ◽

Cited By ~ 5

Author(s):

Hasan Abbasi Nozari ◽

Hamed Dehghan Banadaki ◽

Mehdi Aliyari Shoorehdeli ◽

Silvio Simani

Keyword(s):

Neural Networks ◽

Fault Detection ◽

Gas Turbine ◽

Fault Detection And Isolation ◽

Model Based ◽

Industrial Gas Turbine

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