Hany Moustapha's research while affiliated with École de Technologie Supérieure and other places
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Publications (7)
Gas turbine is a complex system operating in non-stationary operation conditions for which traditional model-based modeling approaches have poor generalization capabilities. To address this, an investigation of a novel data-driven neural networks based model approach for a three-spool aero-derivative gas turbine engine (ADGTE) for power generation...
New design and operation of modern gas turbine engines (GTEs) are becoming more and more complex where several limitations and control modes should be fulfilled at the same time to accomplish a safe and ideal performance for the engine. For this purpose, a constrained multi-input multi-output (MIMO) non-linear model predictive controller (NMPC) bas...
Gas turbine is a complex system operating in non-stationary operation conditions for which traditional model-based modelling approaches have poor generalization capabilities. To address this, an investigation of a novel data driven neural networks based model approach for a three-spool aero-derivative gas turbine engine (ADGTE) for power generation...
Current trends in aviation greatly expand the use of highly integrated, increasingly autonomous air vehicles, with distributed engine control systems (DECS). Such systems allow for optimizing engine performance by enhancing propulsion control architecture. In DECS, each system element (i.e., sensors, actuators, and controllers) individually connect...
Preliminary Meeting Announcement and Call for Papers AVT-357 Research Workshop (RSW) on Technologies for future distributed engine control systems (DECS) organized by the Members of the Applied Vehicle Technology Panel AVT-357 Programme Committee to be held in Berlin, Germany 17-19 May 2021
Citations
... Rahmoune et al. [16] modeled a gas turbine using neural network dynamic nonlinear autoregressive with external exogenous input (NARX), which was used to monitor the practice of rotating machines. Ensemble of RNN for real-time performance modeling of three spool aero-engine was proposed by Ibrahem [17]. A neural network series-parallel NARX model was proposed by Amirkhani et al. [18] for gas turbine fault detection and isolation. ...
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... to accommodate this variety in the property and characteristic and provide necessary control quality, the adaption concept is necessary to be introduced into ACS [2][3][4][5][6]. One of the most promising development directions for adaptive ACS is to introduce a correction into the engine mathematical model that forms the underlying control algorithms [7][8][9]. ...
... This Special Issue includes seven selected papers presented during AVT-357 Research Workshop on Technologies for future distributed engine control systems (DECS), held online, 11-13 May 2021 [1]. The event was sponsored by NATO Science and Technology Organization. ...
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... For example, a hybrid AI and numerical approximation methodology was used to produce new turbine designs in [13], and areas of gas turbine design where AI could be applied described in [30]. Additionally, there exist works on machine learning for runtime prediction: using neural net-works for internal cycle parameter prediction [9,15], fault detection [29], engine sensor and component fault and health diagnosis [16], and operating parameter prediction [22]. A number of works also study neural networks for prognosis [12,17] and propose architectures such as physics-informed recurrent network cells [27]. ...
