A sequential cross-product knowledge accumulation, extraction and transfer framework for machine learning-based production process modelling
Machine learning is a promising method to model production processes and predict product
quality. It is challenging to accurately model complex systems due to data scarcity, as mass …
quality. It is challenging to accurately model complex systems due to data scarcity, as mass …
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 …
system. These exhibited an overall satisfactory performance, but with a limited effectiveness …
Dynamic neural networks for gas turbine engine degradation prediction, health monitoring and prognosis
S Kiakojoori, K Khorasani - Neural Computing and Applications, 2016 - Springer
In this paper, the problem of health monitoring and prognosis of aircraft gas turbine engines
is considered by using computationally intelligent methodologies. Two different dynamic …
is considered by using computationally intelligent methodologies. Two different dynamic …
[HTML][HTML] Investigation of fault detection and isolation accuracy of different Machine learning techniques with different data processing methods for gas turbine
Classification is an essential task for many applications, including text classification, image
classification, data classification, and so on. The present study investigates the accuracy of …
classification, data classification, and so on. The present study investigates the accuracy of …
Advanced engine diagnostics using artificial neural networks
SOT Ogaji, R Singh - Applied soft computing, 2003 - Elsevier
Gas turbines (GT) are used for aero and marine propulsion, power generation and as
mechanical drives for a wide range of industrial applications. Often, they are affected by gas …
mechanical drives for a wide range of industrial applications. Often, they are affected by gas …
Performance-based fault diagnosis of a gas turbine engine using an integrated support vector machine and artificial neural network method
AD Fentaye, SI Ul-Haq Gilani… - Proceedings of the …, 2019 - journals.sagepub.com
An effective and reliable gas path diagnostic method that could be used to detect, isolate,
and identify gas turbine degradations is crucial in a gas turbine condition-based …
and identify gas turbine degradations is crucial in a gas turbine condition-based …
Performance optimization of gas turbine engine
VVR Silva, W Khatib, PJ Fleming - Engineering Applications of Artificial …, 2005 - Elsevier
Performance optimization of a gas turbine engine can be expressed in terms of minimizing
fuel consumption while maintaining nominal thrust output, maximizing thrust for the same …
fuel consumption while maintaining nominal thrust output, maximizing thrust for the same …
Gas turbine availability improvement based on long short-term memory networks using deep learning of their failures data analysis
Practically, a maintenance operation is performed on industrial equipment after scheduled
planning that depends on the average useful life of this equipment (Mean Time Between …
planning that depends on the average useful life of this equipment (Mean Time Between …
Components map generation of gas turbine engine using genetic algorithms and engine performance deck data
C Kong, J Ki - 2007 - asmedigitalcollection.asme.org
In order to estimate the gas turbine engine performance precisely, the component maps
containing their own performance characteristics should be used. Because the components …
containing their own performance characteristics should be used. Because the components …
Deep neural network feature selection approaches for data-driven prognostic model of aircraft engines
Predicting Remaining Useful Life (RUL) of systems has played an important role in various
fields of reliability engineering analysis, including in aircraft engines. RUL prediction is …
fields of reliability engineering analysis, including in aircraft engines. RUL prediction is …