1-3 of 3
Pattern recognition
Close
Save search
Follow your search
Access your saved searches in your account
Would you like to receive an alert when new items match your search?
Close Modal
Sort by
Journal Articles

Real-Time Angular Velocity-Based Misfire Detection Using Artificial Neural Networks

Available to Purchase
Pan Zhang, Wenzhi Gao, Qixin Song, Yong Li, Lifeng Wei, Ziqing Wei
Journal: Journal of Engineering for Gas Turbines and Power
Publisher: ASME
Article Type: Research-Article
J. Eng. Gas Turbines Power. June 2019, 141(6): 061008.
Paper No: GTP-18-1242
https://doi.org/10.1115/1.4041962
Published Online: January 10, 2019
View Articletitled, Real-Time Angular Velocity-Based Misfire Detection Using Artificial Neural Networks
Open the PDF for Real-Time Angular Velocity-Based Misfire Detection Using Artificial Neural Networks in another window
Topics: Artificial neural networks, Cylinders, Engines, Feature extraction, Pattern recognition, Stress, Internal combustion engines, Multilayer perceptron
Journal Articles

Automatic Detection of Defects in a Swirl Burner Array Through an Exhaust Jet Pattern Analysis

Available to Purchase
Ulrich Hartmann, Christoph Hennecke, Friedrich Dinkelacker, Joerg R. Seume
Journal: Journal of Engineering for Gas Turbines and Power
Publisher: ASME
Article Type: Research-Article
J. Eng. Gas Turbines Power. March 2017, 139(3): 031504.
Paper No: GTP-16-1283
https://doi.org/10.1115/1.4034449
Published Online: September 27, 2016
View Articletitled, Automatic Detection of Defects in a Swirl Burner Array Through an Exhaust Jet Pattern Analysis
Open the PDF for Automatic Detection of Defects in a Swirl Burner Array Through an Exhaust Jet Pattern Analysis in another window
Topics: Algorithms, Combustion chambers, Density, Exhaust systems, Support vector machines, Pattern recognition, Jet engines, Engines
Journal Articles

Optimizing Automated Gas Turbine Fault Detection Using Statistical Pattern Recognition

Available to Purchase
E. Loukis, K. Mathioudakis, K. Papailiou
Journal: Journal of Engineering for Gas Turbines and Power
Publisher: ASME
Article Type: Research Papers
J. Eng. Gas Turbines Power. January 1994, 116(1): 165–171.
https://doi.org/10.1115/1.2906787
Published Online: January 1, 1994
View Articletitled, Optimizing Automated Gas Turbine Fault Detection Using Statistical Pattern Recognition
Open the PDF for Optimizing Automated Gas Turbine Fault Detection Using Statistical Pattern Recognition in another window
Topics: Flaw detection, Gas turbines, Pattern recognition, Decision making, Blades, Compressors, Fault diagnosis, Industrial gases, Scalars, Turbines