Artificial intelligence for the diagnostics of gas turbines—part I: neural network approach
In the paper, neural network (NN) models for gas turbine diagnostics are studied and
developed. The analyses carried out are aimed at the selection of the most appropriate NN …
developed. The analyses carried out are aimed at the selection of the most appropriate NN …
Gas turbine health indices determination by using neural networks
R Bettocchi, PR Spina… - … Expo: Power for …, 2002 - asmedigitalcollection.asme.org
Recently, diagnostic approaches based on Artificial Intelligence have become very
attractive. In particular Neural Networks (NNs) seem to have suitable characteristics for gas …
attractive. In particular Neural Networks (NNs) seem to have suitable characteristics for gas …
Neural networks for gas turbine diagnosis
I Loboda - Artificial Neural Networks—Models and Applications, 2016 - books.google.com
The present chapter addresses the problems of gas turbine gas path diagnostics solved
using artificial neural networks. As a very complex and expensive mechanical system, a gas …
using artificial neural networks. As a very complex and expensive mechanical system, a gas …
Set up of a robust neural network for gas turbine simulation
In this paper, Neural Network (NN) models for the real-time simulation of gas turbines are
studied and developed. The analyses carried out are aimed at the selection of the most …
studied and developed. The analyses carried out are aimed at the selection of the most …
Artificial intelligence for the diagnostics of gas turbines—part II: neuro-fuzzy approach
In the paper, neuro-fuzzy systems (NFSs) for gas turbine diagnostics are studied and
developed. The same procedure used previously for the setup of neural network (NN) …
developed. The same procedure used previously for the setup of neural network (NN) …
A neural network-based method for gas turbine blading fault diagnosis
C Angelakis, EN Loukis, AD Pouliezos… - … Journal of Modelling …, 2001 - Taylor & Francis
In this paper artificial neural networks are used with promising results in a critical, and at the
same time, very difficult problem concerning the diagnosis of gas turbine blading faults …
same time, very difficult problem concerning the diagnosis of gas turbine blading faults …
[图书][B] Incorporating neural networks into gas turbine performance diagnostics
K Kanelopoulos, A Stamatis, K Mathioudakis - 1997 - asmedigitalcollection.asme.org
Possibilities of incorporating neural nets in different tasks of a gas turbine performance
diagnostic procedure are investigated. The purpose is to examine how neural nets can be …
diagnostic procedure are investigated. The purpose is to examine how neural nets can be …
[图书][B] Neural networks for the diagnostics of gas turbine engines
G Torella, G Lombardo - 1996 - Citeseer
11111111111 p11111111111 Page 1 THE AMERICAN SOCIETY OF MECHANICAL
ENGINEERS 345 E. 47th St, Now York. NY 10017 96-TA-39 The Society shall not be responsible …
ENGINEERS 345 E. 47th St, Now York. NY 10017 96-TA-39 The Society shall not be responsible …
[PDF][PDF] Fault diagnosis system for an industrial gas turbine by means of neural networks
J Arriagada, M Genrup, A Loberg… - Proceedings of the …, 2003 - academia.edu
This work deals with the use of Artificial Neural Networks (ANNs) for fault diagnosis of a
medium-size industrial gas turbine. One healthy and ten faulty engine conditions have been …
medium-size industrial gas turbine. One healthy and ten faulty engine conditions have been …
Integrated gas turbine system diagnostics: components and sensor faults quantification using artificial neural networks
The role of diagnostic systems in gas turbine operations has changed over the past years
from a single support troubleshooting maintenance to a more proactive integrated diagnostic …
from a single support troubleshooting maintenance to a more proactive integrated diagnostic …