A Hybrid Health Monitoring Approach for Aircraft Flight Control Systems With System-Level Degradation

This article proposes a novel hybrid health monitoring approach to monitor the system-level degradation of aircraft flight control systems (FCSs). The idea derives from observing the nonlinear hysteresis phenomenon in FCS. First, a health FCS model is developed to implement the nonlinear degradation...

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Vydané v:IEEE transactions on industrial electronics (1982) Ročník 70; číslo 7; s. 7438 - 7448
Hlavní autori: Guo, Yihan, Ma, Cunbao, Jing, Zhengdong
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: New York IEEE 01.07.2023
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:
Aerospace control
Aging aircraft
Aircraft
Aircraft control
Algorithms
Atmospheric modeling
Aviation
Computational geometry
Convexity
Degradation
Degradation signal extraction
Delay effects
expectation maximum-convex optimization algorithm
flight control system (FCS)
Flight control systems
health indicators
hybrid health monitoring approach
Indicators
jump Markov autoregressive exogenous (JMARX) system with time delays
Mathematical models
Monitoring
Optimization
Parameter identification
Prognostics and health management
Structural health monitoring
ISSN:0278-0046, 1557-9948
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Shrnutí:This article proposes a novel hybrid health monitoring approach to monitor the system-level degradation of aircraft flight control systems (FCSs). The idea derives from observing the nonlinear hysteresis phenomenon in FCS. First, a health FCS model is developed to implement the nonlinear degradation signal extraction of FCS by building an adaptive-network-based fuzzy inference system, a data-driven method. Subsequently, the jump Markov autoregressive exogenous (JMARX) system with time delays is adopted to establish the FCS system-level degradation model. An expectation maximum-convex optimization algorithm is innovatively proposed to identify the model parameters. After that, three health indicators associated with the degradation model parameters are utilized for FCS system-level health monitoring. Finally, a practical flight experiment is conducted by a civil aircraft. The obtained experimental data is used to validate the effectiveness of the proposed FCS monitoring approach. The model of the time-delay JMARX system gets good modeling evaluation results on mean absolute error, standard deviation, etc. Besides, each of the three health indicators shows a clear FCS degradation tendency, which indicates that the proposed method successfully extracts the degradation information and monitors the health states of FCS. This approach is potential for practical and effective engineering applications in the aviation industry.
Bibliografia:ObjectType-Article-1
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content type line 14
ISSN:0278-0046
1557-9948
DOI:10.1109/TIE.2022.3201317