Search Results | ASME Digital Collection

1-11 of 11

Sort by

Sort Order Select

Journal Articles

Gas Turbine Condition Monitoring Using Acoustic Emission Signals

S. Shahkar, K. Khorasani

ASME J Nondestructive Evaluation. August 2019, 2(3): 031005.

Paper No: NDE-19-1009

DOI: https://doi.org/10.1115/1.4044232

Published Online: August 1, 2019

View Article

Topics: Condition monitoring, Gas turbines, Machinery, Signals, Feature extraction, Acoustic emissions, Mechanical drives

Proceedings Papers

Health Monitoring and Degradation Prognostics in Gas Turbine Engines Using Dynamic Neural Networks

A. Vatani, K. Khorasani, N. Meskin

Proc. ASME. GT2015, Volume 6: Ceramics; Controls, Diagnostics and Instrumentation; Education; Manufacturing Materials and Metallurgy; Honors and Awards, V006T05A030, June 15–19, 2015

Paper No: GT2015-44101

DOI: https://doi.org/10.1115/GT2015-44101

View Paper

Topics: Artificial neural networks, Gas turbines, Engines, Errors, Performance, Temperature, Uncertainty

Journal Articles

Cooperative Optimal Synchronization of Networked Uncertain Nonlinear Euler–Lagrange Heterogeneous Multi-Agent Systems With Switching Topologies

A. R. Mehrabian, K. Khorasani

J. Dyn. Sys., Meas., Control. April 2015, 137(4): 041006.

Paper No: DS-13-1468

DOI: https://doi.org/10.1115/1.4028687

Published Online: April 1, 2015

View Article

Topics: Hot melt adhesives, Synchronization, Topology, Control equipment, Space vehicles

Journal Articles

Multiple-Model Sensor and Components Fault Diagnosis in Gas Turbine Engines Using Autoassociative Neural Networks

Z. N. Sadough Vanini, N. Meskin, K. Khorasani

J. Eng. Gas Turbines Power. September 2014, 136(9): 091603.

Paper No: GTP-13-1429

DOI: https://doi.org/10.1115/1.4027215

Published Online: May 5, 2014

View Article

Topics: Artificial neural networks, Sensors, Fault diagnosis, Flaw detection, Jet engines

Proceedings Papers

Engine Life Evaluation Based on a Probabilistic Approach

Najmeh Daroogheh, Ameneh Vatani, Maryam Gholamhossein, K. Khorasani

Proc. ASME. IMECE2012, Volume 1: Advances in Aerospace Technology, 347-358, November 9–15, 2012

Paper No: IMECE2012-87929

DOI: https://doi.org/10.1115/IMECE2012-87929

View Paper

Topics: Engines, Creep, Damage, Erosion, Simulation, Cycles, Failure, Flight, Low cycle fatigue, Maintenance

Proceedings Papers

Prediction of the Jet Engine Performance Deterioration

Maryam Gholamhossein, Ameneh Vatani, Najmeh Daroogheh, K. Khorasani

Proc. ASME. IMECE2012, Volume 1: Advances in Aerospace Technology, 359-366, November 9–15, 2012

Paper No: IMECE2012-87936

DOI: https://doi.org/10.1115/IMECE2012-87936

View Paper

Topics: Compressors, Cycles, Engines, Flight, Gas turbines, Jet engines, Maintenance, Modeling, Temperature, Time series

Proceedings Papers

Deterioration Detection and Health Monitoring in Aircraft Jet Engines

N. Daroogheh, A. Baniamerian, H. Nayyeri, K. Khorasani

Proc. ASME. IMECE2012, Volume 1: Advances in Aerospace Technology, 367-375, November 9–15, 2012

Paper No: IMECE2012-87938

DOI: https://doi.org/10.1115/IMECE2012-87938

View Paper

Topics: Aircraft, Jet engines, Engines, Computer software, Maintenance

Proceedings Papers

Nonlinear Fault Diagnosis of Jet Engines by Using a Multiple Model-Based Approach

E. Naderi, N. Meskin, K. Khorasani

Proc. ASME. GT2011, Volume 1: Aircraft Engine; Ceramics; Coal, Biomass and Alternative Fuels; Wind Turbine Technology, 63-75, June 6–10, 2011

Paper No: GT2011-45143

DOI: https://doi.org/10.1115/GT2011-45143

View Paper

Topics: Fault diagnosis, Jet engines, Engines, Kalman filters, Probability, Actuators, Algorithms, Compressors, Flaw detection, Simulation results

Journal Articles

Nonlinear Fault Diagnosis of Jet Engines by Using a Multiple Model-Based Approach

E. Naderi, N. Meskin, K. Khorasani

J. Eng. Gas Turbines Power. January 2012, 134(1): 011602.

DOI: https://doi.org/10.1115/1.4004152

Published Online: November 4, 2011

View Article

Topics: Algorithms, Compressors, Fault diagnosis, Filters, Flaw detection, Jet engines, Kalman filters, Probability, Turbines, Flow (Dynamics)

Proceedings Papers

Fault Diagnosis of Jet Engines by Using a Multiple Model-Based Approach

N. Meskin, E. Naderi, K. Khorasani

Proc. ASME. GT2010, Volume 3: Controls, Diagnostics and Instrumentation; Cycle Innovations; Marine, 319-329, June 14–18, 2010

Paper No: GT2010-23442

DOI: https://doi.org/10.1115/GT2010-23442

View Paper

Topics: Fault diagnosis, Jet engines, Engines, Probability, Actuators, Algorithms, Compressors, Failure, Flaw detection, Noise (Sound)

Journal Articles

A Neural Network Controller for a Class of Nonlinear Non-Minimum Phase Systems with Application to a Flexible-Link Manipulator

H. A. Talebi, R. V. Patel, K. Khorasani

J. Dyn. Sys., Meas., Control. June 2005, 127(2): 289–294.

DOI: https://doi.org/10.1115/1.1898232

Published Online: August 9, 2004

View Article

Topics: Artificial neural networks, Control equipment, Dynamics (Mechanics), Flexible manipulators, Manipulators, Nonlinear systems

Journal citation

NARROW

Gas Turbine Condition Monitoring Using Acoustic Emission Signals

Health Monitoring and Degradation Prognostics in Gas Turbine Engines Using Dynamic Neural Networks

Cooperative Optimal Synchronization of Networked Uncertain Nonlinear Euler–Lagrange Heterogeneous Multi-Agent Systems With Switching Topologies

Multiple-Model Sensor and Components Fault Diagnosis in Gas Turbine Engines Using Autoassociative Neural Networks

Engine Life Evaluation Based on a Probabilistic Approach

Prediction of the Jet Engine Performance Deterioration

Deterioration Detection and Health Monitoring in Aircraft Jet Engines

Nonlinear Fault Diagnosis of Jet Engines by Using a Multiple Model-Based Approach

Nonlinear Fault Diagnosis of Jet Engines by Using a Multiple Model-Based Approach

Fault Diagnosis of Jet Engines by Using a Multiple Model-Based Approach

A Neural Network Controller for a Class of Nonlinear Non-Minimum Phase Systems with Application to a Flexible-Link Manipulator

Journals

Conference Proceedings

eBooks

Resources

Opportunities

Journals

Conference Proceedings

eBooks

Resources

Opportunities

This Feature Is Available To Subscribers Only