Cultural coyote optimization algorithm applied to a heavy duty gas turbine operation
In the past decades, the quantity of researches regarding industrial gas turbines (GT) has
increased exponentially in terms of number of publications and diversity of applications. The …
increased exponentially in terms of number of publications and diversity of applications. The …
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 …
Gas turbine monitoring using neural network dynamic nonlinear autoregressive with external exogenous input modelling
The main purpose of the present work is to propose an effective tool which allows to ensure
the protection and the safety measures against the instability phenomena in a gas turbine …
the protection and the safety measures against the instability phenomena in a gas turbine …
Fuzzy diagnostic strategy implementation for gas turbine vibrations faults detection: Towards a characterization of symptom–fault correlations
Background Currently, the challenges of sustainable development in the operational safety
of industrial systems continue to grow and increase, given the increasing complexity of these …
of industrial systems continue to grow and increase, given the increasing complexity of these …
Robust diagnosis with high protection to gas turbine failures identification based on a fuzzy neuro inference monitoring approach
Modern industry requires the development of new monitoring and diagnostic procedures,
which enable the detection, localization, and isolation of faults. For sustainable solutions in …
which enable the detection, localization, and isolation of faults. For sustainable solutions in …
A simulation model for transient behaviour of heavy-duty gas turbines
A Chaibakhsh, S Amirkhani - Applied Thermal Engineering, 2018 - Elsevier
In this study, an analytical model is developed to characterize the transient behaviour of a
heavy-duty gas turbine unit. While deriving models based on mass and energy …
heavy-duty gas turbine unit. While deriving models based on mass and energy …
Relying on machine learning methods for predicting hydrogen solubility in different alcoholic solvents
There are high demands for reliable hydrogen-alcohol phase equilibria in separation and
conversion-related industrial processes. Since experimental measurements cannot be …
conversion-related industrial processes. Since experimental measurements cannot be …
Dynamic model linearization of two shafts gas turbine via their input/output data around the equilibrium points
The present paper deals with a linearization strategy of the non-linear model presenting a
gas turbine with two shafts. Indeed, being able to describe and to explain the various …
gas turbine with two shafts. Indeed, being able to describe and to explain the various …
Novel fuzzy modeling and energy-saving predictive control of coordinated control system in 1000 MW ultra-supercritical unit
G Hou, L Gong, C Huang, J Zhang - ISA transactions, 2019 - Elsevier
In order to satisfy the growing demands of control performance and energy conservation in
power generation process, a novel T–S fuzzy modeling method combined with the quantum …
power generation process, a novel T–S fuzzy modeling method combined with the quantum …
Reliability analysis of gas turbine engine by means of bathtub‐shaped failure rate distribution
During reliability analysis, analysts often encounter multiple repairable units operating in
different environments for various applications such as marine, power generation, and …
different environments for various applications such as marine, power generation, and …