Artificial neural network pattern classification of transient stability and loss of excitation for synchronous generators

1994 ◽  
Vol 30 (1) ◽  
pp. 9-16 ◽  
Author(s):  
A.M. Sharaf ◽  
T.T. Lie
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Pattern Classification ◽  
Transient Stability ◽  
Synchronous Generators ◽  
Artificial Neural ◽  
Network Pattern

Classification of catchments for nitrogen using Artificial Neural Network Pattern Recognition and spatial data

2021 ◽  
pp. 151139
Author(s):  
Cherie M. O'Sullivan ◽  
Afshin Ghahramani ◽  
Ravinesh C. Deo ◽  
Keith Pembleton ◽  
Urooj Khan ◽  
...  
Keyword(s):  
Neural Network ◽  
Pattern Recognition ◽  
Artificial Neural Network ◽  
Spatial Data ◽  
Artificial Neural ◽  
Network Pattern

Research of the cold resistance of metals by indentation with registration of an acoustic emission signal

2020 ◽  
pp. 61-64
Author(s):  
Yu.G. Kabaldin ◽  
A.A. Khlybov ◽  
M.S. Anosov ◽  
D.A. Shatagin
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Acoustic Emission ◽  
Acoustic Emission Signal ◽  
Low Temperatures ◽  
Cold Resistance ◽  
Emission Signal ◽  
Impact Bending ◽  
Artificial Neural

The study of metals in impact bending and indentation is considered. A bench is developed for assessing the character of failure on the example of 45 steel at low temperatures using the classification of acoustic emission signal pulses and a trained artificial neural network. The results of fractographic studies of samples on impact bending correlate well with the results of pulse recognition in the acoustic emission signal. Keywords acoustic emission, classification, artificial neural network, low temperature, character of failure, hardness. [email protected]

Sign in / Sign up

Export Citation Format

Share Document