Methodology for short-term performance prognostic of gas turbine using recurrent neural network
M Muhammad, TB Mohammadreza… - 2015 IEEE …, 2015 - ieeexplore.ieee.org
The issue of performance prognosis has been a topic of considerable interest in industrial
condition monitoring applications. An innovative data driven prognostic methodology has …
condition monitoring applications. An innovative data driven prognostic methodology has …
[PDF][PDF] Fault diagnostic model for rotating machinery based on principal component analysis and neural network
In the current economic challenge, methods to accurately predict system failure has become
a holy grail in maintenance with the goal to reduce the cost of unavailability due to …
a holy grail in maintenance with the goal to reduce the cost of unavailability due to …
[PDF][PDF] Adaptive neuro-fuzzy inference system for performance health monitoring of industrial gas turbines
M Tahan-Bouria, M Muhammad… - Proceedings of the 2016 …, 2016 - ieomsociety.org
Figuring whether or not a gas turbine is inclined to faults provides useful help for
determining the required preventive action before failure happening. System identification is …
determining the required preventive action before failure happening. System identification is …
[PDF][PDF] Modeling and sensitivity analysis of a multi-nets anns model for real-time performance-based condition monitoring of an industrial gas turbine engine
The present study aims to investigate the use of Artificial Neural Networks (ANN) for the
performance-based condition monitoring of indusrial gas turbine engines. Toward this end …
performance-based condition monitoring of indusrial gas turbine engines. Toward this end …