Model-based fault diagnosis for turboshaft engines

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  • English
National Aeronautics and Space Administration, Lewis Research Center, National Technical Information Service, distributor , [Cleveland, Ohio], [Springfield, Va
Turbine engines., Turboshafts., Error analysis., Systematic er
Other titlesModel based fault diagnosis for turboshaft engines.
StatementMichael D. Green and Ahmet Duyar, Jonathan S. Litt.
SeriesNASA/TM -- 1998-208825., NASA technical memorandum -- 208825.
ContributionsDuyar, Ahmet., Litt, Jonathan S., Lewis Research Center.
The Physical Object
Pagination1 v.
ID Numbers
Open LibraryOL15546667M

Get this from a library. Model-based fault diagnosis for turboshaft engines. [Michael D Green; Ahmet Duyar; Jonathan S Litt; Lewis Research Center.].

[2] Michael D G, Ahmet D, Jonathan S L, Model-based fault diagnosis for turboshaft engines, NASA/TM [3] Ogaji S, Li Y G, Sam path. Combining a simplified on-board turbo-shaft model with sensor fault diagnostic logic, a model-based sensor fault diagnosis method is proposed.

The existing fault diagnosis method for turbo-shaft engine key sensors is mainly based on a double redundancies technique, and this can’t be satisfied in some occasions as lack of judgment.

The simplified on-board model provides the Cited by: Gas turbine fuel valve diagnostics. Model-Based Fault Diagnosis for Turboshaft Engines. when used to augment the existing periodic maintenance and.

Green MD, Duyar A, Litt JS. Model-based fault diagnosis for turboshaft engine. In: Prepr. IF AC Symp. on Fault Detection, Supervision and Safety for Technical Processes, SAFEPROCESS’97, ; 71– Google ScholarAuthor: Gennady G. Kulikov, Haydn A. Thompson. Meanwhile, to study the fault diagnosis of aircraft engines, Zhai adopted generalized distances to determine the clustering center, then constructed the T–S fuzzy model.

The likely benefit of this approach are realizing a complete coverage of the full envelope with the least amount of division, while the dynamic characteristics of the engine Cited by: 1.

"A Study on Multi Fault Diagnostics of Smart Unmanned Aerial Vehicle Propulsion System Using Data Sorting and Neural Networks." Proceedings of the ASME Turbo Expo Power for Land, Sea, and Air. Volume 2: Controls, Diagnostics and Author: Changduk Kong, Seonghee Kho, Jayoung Ki, Changho Lee.

Gas Turbine Fault Detection and Isolation Using MLP Artificial Neural Network Gustavo R. Matuck. A test case using a turboshaft engine is used to demonstrate the capacity of this ANN to identify faults that may occur during engine operation. Nonlinear Fault Diagnosis of Jet Engines by Using a Multiple Model-Based Approach.

Eng Cited by: 5. Advances in Safety, Reliability and Risk Management contains the papers presented at the 20th European Safety and Reliability (ESREL ) annual conference in Troyes, France, in September The books covers a wide range of topics, including: Accident and Incident Investigation; Bayesian methods.

R.K. Belapurkar and R.K. Yedavalli and A. Behbahani “Study of Model-based Fault Detection of Distributed Aircraft Engine Control Systems with Transmission Delays”, Proceedings of the 47th AIAA/ASME/SAE/ASEE Joint Propulsion Conference & Exhibit.

It is quite important of gas path fault diagnosis for turboshaft engine from the huge accumulated data. The paper presents the data-driven ways of learning machine algorithms for gas path fault diagnosis of the engine and the performance comparisons.

Various Extreme Learning Machine (ELM), including basic ELM, Kernel ELM (KELM) and Multiple. AbstractThis paper presents a robust fault identification scheme based on fractional-order integral sliding mode observer (FOISMO) for turbofan engine sensors with uncertainties.

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The equilibrium manifold expansion (EME) model is introduced due to its simplicity and accuracy for nonlinear system. A fractional-order integral sliding mode observer is Author: Xiaocong He, Lingfei Xiao.

Gas turbines play an important role in power generation and aeroengines. An extended survey of methods associated with the control and systems identification in these engines, Dynamic Modelling of Gas Turbines reviews current methods and presents a number of new perspectives.

Geiger G.() Fault Identification of a Motor Pump System IFAC World Congress, Budapest– Google Scholar St Nold (), Fault Detection in AC Drives by Process Parameter Estimation, IFAC World Congress, Munich, –Author: R. Stobart. Combining a simplified on-board turbo-shaft model with sensor fault diagnostic logic, a model-based sensor fault diagnosis method is proposed.

The existing fault diagnosis method for turbo-shaft engine key sensors is mainly based on a double redundancies technique, and this can't be satisfied in some occasions as lack of judgment. Proceedings of the First Symposium on Aviation Maintenance and Management collects selected papers from the conference of ISAMM in China held in Xi’an on NovemberThe book presents state-of-the-art studies on the aviation maintenance, test, fault diagnosis, and prognosis for the aircraft electronic and electrical systems.

oil-free turbomachinery technology for regional jet, oil-free turbomachinery technology for regional jet, rotorcraft and supersonic business jet propulsion engines new design method of inlet and outlet channels of turboshaft and turboprop engines.

hanus, d. / censky, t. / american institute of aeronautics and astronautics | Robles, M. Avila, F. Duculty, P. Vrignat & F. KratzExploitation of built in test for diagnosis by using Dynamic Fault Trees: Implementation in Matlab SimulinkE.

Gascard, Z.

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Simeu-Abazi & J. YounesFault detection through physical modelling in an axial flow compressor of a combined-cycle power plantJ.A. Garcia-Matos, M.A. Sanz-Bobi, A. Munoz & A. State of Aircraft Turboshaft Engines by Means of Tribotechnical Diagnostic. NASA Astrophysics Data System (ADS) Mihalčová, Janka.

The contribution describes concrete example of application of tribotechnical methods for the determination of the bearing wear state in aircraft turboshaft echnical methods, which will be mentioned, deal.

O Scribd é o maior site social de leitura e publicação do mundo. Forthcoming articles; Fuzzy Fault-Tolerant Control for doubly fed induction generator in wind energy conversion system Numerous specialists have utilized the model based methodologies for combination with the accentuation on enhancing the intertwined picture quality and diminishing the shading twisting.

In a model based technique, the. Technologies such as expert systems, machine learning, and model based systems need to be developed and implemented within a modular extensible framework. From the above analysis a robust and extensible network architecture and toolset capable of supporting autonomous operations will be developed and prototyped.

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Therefore, the advanced turboshaft engines of the future will be required to provide significantly improved performance at part power in order to support these missions.

A reheat cycle in which heat is added between the high pressure turbine and the low pressure turbine (power turbine) of a turboshaft engine has shown great potential for. MECHANICAL ENGINEERING SCHEME OF STUDIES AND EXAMINATION AND SYLLABUS FOR B. TECH DEGREE III to VIII SEMESTERS SCHEME Semester III Engineering.

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Get This Book Whereas other books in this area stick to the theory, this book shows the reader how to apply the theory to real engines. It provides access to up-to-date perspectives in the use of a variety of modern advanced control techniques to gas turbine technology.

Full text of "Failure Modes and Effects Analysis (FMEA): A Bibliography" See other formats. Compression-ignition (CI) engines, also known as diesel engines, offer the high efficiency and low fuel consumption that the Army requires, but the existing engines were developed for automotive applications.

Such engines exhibit a number of problems when operated at environmental conditions typical for the Army. This paper presents a method for modelling contra-rotating propellers (CRP) for engine performance simulations.

An in-house free-wake lifting surface tool (GENUVP) is used to generate suitable performance maps for each propeller that express power and thrust coefficient in terms of advance ratio, flight Mach number, speed ratio and blade pitch angle of each.

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McManus, John W., A Parallel Distributed System for Aircraft Tactical Decision Generation, 9th AIAA/IEEE Digital Avionics Systems Conference, Virginia Beach, VA, October 15 - 18,pp.