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Adaptive Optimization Of Aircraft Engine Performance Using Neural Networks
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Book Synopsis Adaptive Optimization of Aircraft Engine Performance Using Neural Networks by :
Download or read book Adaptive Optimization of Aircraft Engine Performance Using Neural Networks written by and published by . This book was released on 1995 with total page 18 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author :National Aeronautics and Space Adm Nasa Publisher :Independently Published ISBN 13 :9781724081209 Total Pages :40 pages Book Rating :4.0/5 (812 download)
Book Synopsis Cascade Optimization for Aircraft Engines with Regression and Neural Network Analysis - Approximators by : National Aeronautics and Space Adm Nasa
Download or read book Cascade Optimization for Aircraft Engines with Regression and Neural Network Analysis - Approximators written by National Aeronautics and Space Adm Nasa and published by Independently Published. This book was released on 2018-09-27 with total page 40 pages. Available in PDF, EPUB and Kindle. Book excerpt: The NASA Engine Performance Program (NEPP) can configure and analyze almost any type of gas turbine engine that can be generated through the interconnection of a set of standard physical components. In addition, the code can optimize engine performance by changing adjustable variables under a set of constraints. However, for engine cycle problems at certain operating points, the NEPP code can encounter difficulties: nonconvergence in the currently implemented Powell's optimization algorithm and deficiencies in the Newton-Raphson solver during engine balancing. A project was undertaken to correct these deficiencies. Nonconvergence was avoided through a cascade optimization strategy, and deficiencies associated with engine balancing were eliminated through neural network and linear regression methods. An approximation-interspersed cascade strategy was used to optimize the engine's operation over its flight envelope. Replacement of Powell's algorithm by the cascade strategy improved the optimization segment of the NEPP code. The performance of the linear regression and neural network methods as alternative engine analyzers was found to be satisfactory. This report considers two examples-a supersonic mixed-flow turbofan engine and a subsonic waverotor-topped engine-to illustrate the results, and it discusses insights gained from the improved version of the NEPP code. Patnaik, Surya N. and Guptill, James D. and Hopkins, Dale A. and Lavelle, Thomas M. Glenn Research Center NASA/TM-2000-209177, E-11686, NAS 1.15:209177
Book Synopsis A Hybrid Neural Network-Genetic Algorithm Technique for Aircraft Engine Performance Diagnostics by : Takahisa Kobayashi
Download or read book A Hybrid Neural Network-Genetic Algorithm Technique for Aircraft Engine Performance Diagnostics written by Takahisa Kobayashi and published by . This book was released on 2001 with total page 18 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this paper, a model-based diagnostic method, which utilizes Neural Networks and Genetic Algorithms, is investigated. Neural networks are applied to estimate the engine internal health, and Genetic Algorithms are applied for sensor bias detection and estimation. This hybrid approach takes advantage of the nonlinear estimation capability provided by neural networks while improving the robustness to measurement uncertainty through the application of Genetic Algorithms. The hybrid diagnostic technique also has the ability to rank multiple potential solutions for a given set of anomalous sensor measurements in order to reduce false alarms and missed detections. The performance of the hybrid diagnostic technique is evaluated through some case studies derived from a turbofan engine simulation. The results show this approach is promising for reliable diagnostics of aircraft engines.
Author :North Atlantic Treaty Organization. Advisory Group for Aerospace Research and Development. Propulsion and Energetics Panel. Symposium Publisher : ISBN 13 : Total Pages :432 pages Book Rating :4.E/5 ( download)
Book Synopsis Advanced Aero-engine Concepts and Controls by : North Atlantic Treaty Organization. Advisory Group for Aerospace Research and Development. Propulsion and Energetics Panel. Symposium
Download or read book Advanced Aero-engine Concepts and Controls written by North Atlantic Treaty Organization. Advisory Group for Aerospace Research and Development. Propulsion and Energetics Panel. Symposium and published by . This book was released on 1996 with total page 432 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Cascade Optimization for Aircraft Engines With Regression and Neural Network Analysis - Approximators by :
Download or read book Cascade Optimization for Aircraft Engines With Regression and Neural Network Analysis - Approximators written by and published by . This book was released on 2000 with total page 26 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Preliminary Flight Evaluation of an Engine Performance Optimization Algorithm by : H. H. Lambert
Download or read book Preliminary Flight Evaluation of an Engine Performance Optimization Algorithm written by H. H. Lambert and published by . This book was released on 1991 with total page 28 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Genetic Algorithms for Optimisation in Aeronautics and Turbomachinery by : Jacques Periaux
Download or read book Genetic Algorithms for Optimisation in Aeronautics and Turbomachinery written by Jacques Periaux and published by . This book was released on 2000 with total page 456 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Lecture series written by and published by . This book was released on 2000 with total page 452 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Scientific and Technical Aerospace Reports by :
Download or read book Scientific and Technical Aerospace Reports written by and published by . This book was released on 1995 with total page 704 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Advanced Control of Turbofan Engines by : Hanz Richter
Download or read book Advanced Control of Turbofan Engines written by Hanz Richter and published by Springer Science & Business Media. This book was released on 2011-10-20 with total page 275 pages. Available in PDF, EPUB and Kindle. Book excerpt: Advanced Control of Turbofan Engines describes the operational performance requirements of turbofan (commercial) engines from a controls systems perspective, covering industry-standard methods and research-edge advances. This book allows the reader to design controllers and produce realistic simulations using public-domain software like CMAPSS: Commercial Modular Aero-Propulsion System Simulation, whose versions are released to the public by NASA. The scope of the book is centered on the design of thrust controllers for both steady flight and transient maneuvers. Classical control theory is not dwelled on, but instead an introduction to general undergraduate control techniques is provided. Advanced Control of Turbofan Engines is ideal for graduate students doing research in aircraft engine control and non-aerospace oriented control engineers who need an introduction to the field.
Book Synopsis Adaptive Optimization of General Aviation Aircraft by : Yechiel Crispin
Download or read book Adaptive Optimization of General Aviation Aircraft written by Yechiel Crispin and published by . This book was released on 1992 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Preliminary Flight Evaluation of an Engine Performance Optimization Algorithm by :
Download or read book Preliminary Flight Evaluation of an Engine Performance Optimization Algorithm written by and published by . This book was released on 1991 with total page 24 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Aircraft Jet Engine Health Monitoring Through System Identification Using Ensemble Neural Networks by : Mahdiyeh Amozegar
Download or read book Aircraft Jet Engine Health Monitoring Through System Identification Using Ensemble Neural Networks written by Mahdiyeh Amozegar and published by . This book was released on 2015 with total page 440 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this thesis a new approach for jet engine Fault Detection and Isolation (FDI) is proposed using ensemble neural networks. Ensemble methods combine various model predictions to reduce the modeling error and increase the prediction accuracy. By combining individual models, more robust and accurate representations are almost always achievable without the need of ad-hoc fine tunings that are required for single model-based solutions. For the purpose of jet engine health monitoring, the model of the jet engine dynamics is represented using three different stand-alone or individual neural network learning algorithms. Specifically, a dynamic multi-layer perceptron (MLP), a dynamic radial-basis function (RBF) neural network, and a dynamic support vector machine (SVM) are trained to individually model the jet engine dynamics. The accuracy of each stand-alone model in identification of the jet engine dynamics is evaluated. Next, three ensemble-based techniques are employed to represent jet engine dynamics. Namely, two heterogenous ensemble models (an ensemble model is heterogeneous when different learning algorithms (neural networks) are used for training its members) and a homogeneous ensemble model (all the models are generated using the same learning algorithm (neural network)). It is concluded that the ensemble models improve the modeling accuracy when compared to stand-alone solutions. The best selected stand-alone model (i.e the dynamic radial-basis function neural network in this application) and the best selected ensemble model (i.e. a heterogenous ensemble) in term of the jet engine modeling accuracy are selected for performing the FDI study. Engine residual signals are generated using both single model-based and ensemble-based solutions under various engine health conditions. The obtained residuals are evaluated in order to detect engine faults. Our simulation results demonstrate that the fault detection task using residuals that are obtained from the ensemble model results in more accurate performance. The fault isolation task is performed by evaluating variations in residual signals (before and after a fault detection flag) using a neural network classifier. As in the fault detection results, it is observed that the ensemble-based fault isolation task results in a more promising performance.
Book Synopsis Application of a Bank of Kalman Filters for Aircraft Engine Fault Diagnostics by :
Download or read book Application of a Bank of Kalman Filters for Aircraft Engine Fault Diagnostics written by and published by . This book was released on 2003 with total page 18 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this paper, a bank of Kalman filters is applied to aircraft gas turbine engine sensor and actuator fault detection and isolation (FDI) in conjunction with the detection of component faults. This approach uses multiple Kalman filters, each of which is designed for detecting a specific sensor or actuator fault. In the event that a fault does occur, all filters except the one using the correct hypothesis will produce large estimation errors, thereby isolating the specific fault. In the meantime, a set of parameters that indicate engine component performance is estimated for the detection of abrupt degradation. The proposed FDI approach is applied to a nonlinear engine simulation at nominal and aged conditions, and the evaluation results for various engine faults at cruise operating conditions are given. The ability of the proposed approach to reliably detect and isolate sensor and actuator faults is demonstrated. (7 tables, 4 figures, 17 refs.).
Author :North Atlantic Treaty Organization. Advisory Group for Aerospace Research and Development Publisher : ISBN 13 : Total Pages :614 pages Book Rating :4.3/5 (243 download)
Book Synopsis AGARD Index of Publications by : North Atlantic Treaty Organization. Advisory Group for Aerospace Research and Development
Download or read book AGARD Index of Publications written by North Atlantic Treaty Organization. Advisory Group for Aerospace Research and Development and published by . This book was released on 1995 with total page 614 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Jet Engine Prognosis Using Dynamic Neural Networks by : Saba Kiakojoori
Download or read book Jet Engine Prognosis Using Dynamic Neural Networks written by Saba Kiakojoori and published by . This book was released on 2014 with total page 382 pages. Available in PDF, EPUB and Kindle. Book excerpt: Jet engine related costs and the need for high performance reliability have resulted in considerable interest in advanced health and condition-based maintenance techniques. This thesis attempts to design fault prognosis schemes for aircraft jet engine using intelligent-based methodologies to ensure flight safety and performance. Two different artificial neural networks namely, non-linear autoregressive neural network with exogenous input (NARX) and the Elman neural network are introduced for this purpose. The NARX neural network is constructed by using a tapped-delay line from the inputs and delayed connections from the output layer to the input layer to achieve a dynamic input-output map. Consequently, the current output becomes dependent on the delayed inputs and outputs. On the other hand, the Elman neural network uses the previous values of the hidden layer neurons to build memory in the system. Various degradations may occur in the engine resulting in changes in its components performance. Two main degradations, namely compressor fouling and turbine erosion are modelled under various degradation conditions. The proposed dynamic neural networks are developed and applied to capture the dynamics of these degradations in the jet engine. The health condition of the engine is then predicted subject to occurrence of these deteriorations. In both proposed approaches, various scenarios are considered and extensive simulations are conducted. For each of the scenarios, several neural networks are trained and their performances in predicting multi-flights ahead turbine output temperature are evaluated. The difference between each network output and the measured jet engine output are compared and the best neural network architecture is obtained. The most suitable neural network for prediction is selected by using normalized Bayesian information criterion model selection. Simulation results presented, demonstrate and illustrate the effective performance of the proposed neural network-based prediction and prognosis strategies.
Book Synopsis Artificial Intelligence and Data Driven Optimization of Internal Combustion Engines by : Jihad Badra
Download or read book Artificial Intelligence and Data Driven Optimization of Internal Combustion Engines written by Jihad Badra and published by Elsevier. This book was released on 2022-01-05 with total page 262 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence and Data Driven Optimization of Internal Combustion Engines summarizes recent developments in Artificial Intelligence (AI)/Machine Learning (ML) and data driven optimization and calibration techniques for internal combustion engines. The book covers AI/ML and data driven methods to optimize fuel formulations and engine combustion systems, predict cycle to cycle variations, and optimize after-treatment systems and experimental engine calibration. It contains all the details of the latest optimization techniques along with their application to ICE, making it ideal for automotive engineers, mechanical engineers, OEMs and R&D centers involved in engine design. Provides AI/ML and data driven optimization techniques in combination with Computational Fluid Dynamics (CFD) to optimize engine combustion systems Features a comprehensive overview of how AI/ML techniques are used in conjunction with simulations and experiments Discusses data driven optimization techniques for fuel formulations and vehicle control calibration