Gas turbine sensor validation through classification with artificial neural networks

T Palmé, M Fast, M Thern - Applied energy, 2011 - Elsevier
Modern power plants are all strongly dependent on reliable and accurate sensor readings
for monitoring and control, thus making sensors an important part of any plant. Failing …

[图书][B] Artificial neural networks for gas turbine monitoring

M Fast - 2010 - energy.lth.se
Due to the deregulation of the electricity market the power producers are forced to
continuously investigate various means of maintaining/increasing their profits. Improving the …

Artificial intelligence for the diagnostics of gas turbines—part I: neural network approach

R Bettocchi, M Pinelli, PR Spina, M Venturini - 2007 - asmedigitalcollection.asme.org
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 …

Artificial neural network–based system identification for a single-shaft gas turbine

H Asgari, XQ Chen, MB Menhaj… - … of Engineering for …, 2013 - asmedigitalcollection.asme.org
During recent decades, artificial intelligence has been employed as a powerful tool for
identification of complex industrial systems with nonlinear dynamics, such as gas turbines …

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 …

Fault detection of wind turbine sensors using artificial neural networks

AG Kavaz, B Barutcu - Journal of Sensors, 2018 - Wiley Online Library
This paper proposes a method for sensor validation and fault detection in wind turbines.
Ensuring validity of sensor measurements is a significant part in overall condition monitoring …

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 …

Industrial gas turbine operating parameters monitoring and data-driven prediction

M PAwełczyk, S FulArA, M SePe… - Eksploatacja i …, 2020 - yadda.icm.edu.pl
The article reviews traditional and modern methods for prediction of gas turbine operating
characteristics and its potential failures. Moreover, a comparison of Machine Learning based …

Different condition monitoring models for gas turbines by means of artificial neural networks

T Palme, M Fast, M Assadi… - … Expo: Power for …, 2009 - asmedigitalcollection.asme.org
This paper presents three different gas turbine condition monitoring models developed by
artificial neural networks. Operational data from an ALSTOM GT11-N1 has been employed …

Neural network approach for a combined performance and mechanical health monitoring of a gas turbine engine

SG Barad, PV Ramaiah, RK Giridhar… - Mechanical Systems and …, 2012 - Elsevier
Traditionally independent diagnostics methods were employed for health monitoring of
system. These exhibited an overall satisfactory performance, but with a limited effectiveness …