Modeling a complex aero-engine using reduced order models

Xuewu Dai; Timofei Breikin; Hong Wang; Gennady Kulikov; Valentin Arkov

doi:10.1007/978-1-4419-5757-3_4

Modeling a complex aero-engine using reduced order models

Xuewu Dai, Timofei Breikin, Hong Wang, Gennady Kulikov, Valentin Arkov

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

2 Citations (Scopus)

Abstract

Gas turbine engines are widely used in many industrial applications and engine condition monitoring is a vital issue for the aircraft in-service use and flight safety. From the variety of condition monitoring methods, the model-based approach is perhaps the most promising for real-time condition monitoring. This approach can predict the engine characteristics at the expense of algorithmic redundancy and requires real-time simulation. The main obstacles for using full thermodynamic models in the engine condition monitoring schemes are high computing load, and inability to incorporate unforeseen changes.

Original language	English
Title of host publication	Efficient Modeling and Control of Large-Scale Systems
Place of Publication	Boston, MA
Publisher	Springer
Pages	89-111
Number of pages	23
ISBN (Electronic)	9781441957573
ISBN (Print)	9781441957566
DOIs	https://doi.org/10.1007/978-1-4419-5757-3_4
Publication status	Published - 11 May 2010
Externally published	Yes

Keywords

Condition Monitoring
Equation Error
Reduce Order Model
Output Error
Actuator Fault

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10.1007/978-1-4419-5757-3_4

Cite this

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AU - Kulikov, Gennady

AU - Arkov, Valentin

PY - 2010/5/11

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KW - Reduce Order Model

KW - Output Error

KW - Actuator Fault

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ER -

Modeling a complex aero-engine using reduced order models

Abstract

Keywords

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