An Adaptive Threshold Algorithm Based on Satisfactory Filtering Principle

In this paper, the problem of designing a adaptive threshold for Fault diagnostic in Full Authority Digital Engine Control system that are subject to environmental disturbances and various input is investigated. According to aero-engine small deviation linearization model, state matrix perturbation...

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Published inApplied Mechanics and Materials Vol. 364; pp. 179 - 182
Main Authors Han, Bing Jie, Gou, Lin Feng
Format Journal Article
LanguageEnglish
Published Zurich Trans Tech Publications Ltd 01.08.2013
Subjects
Adaptive Threshold
Robust Fault Diagnosis
Linear Matrix Inequality (LMI)
Online AccessGet full text
ISBN3037857838
9783037857830
ISSN1660-9336
1662-7482
1662-7482
DOI10.4028/www.scientific.net/AMM.364.179

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Abstract In this paper, the problem of designing a adaptive threshold for Fault diagnostic in Full Authority Digital Engine Control system that are subject to environmental disturbances and various input is investigated. According to aero-engine small deviation linearization model, state matrix perturbation model with "soft boundary" pseudo normal distribution is built. The proposed algorithm bases on satisfaction filtering principle. Linear matrix inequality (LMI) method is applied to get upper bound of residual. With the residual distribution probability model and the target false alarm rate, the optimal threshold is determined. The proposed algorithm is then applied to sensor fault detection on a turbofan aero-engine. Simulation results demonstrate and validate the performance and capability of the adaptive threshold algorithm.
AbstractList In this paper, the problem of designing a adaptive threshold for Fault diagnostic in Full Authority Digital Engine Control system that are subject to environmental disturbances and various input is investigated. According to aero-engine small deviation linearization model, state matrix perturbation model with "soft boundary" pseudo normal distribution is built. The proposed algorithm bases on satisfaction filtering principle. Linear matrix inequality (LMI) method is applied to get upper bound of residual. With the residual distribution probability model and the target false alarm rate, the optimal threshold is determined. The proposed algorithm is then applied to sensor fault detection on a turbofan aero-engine. Simulation results demonstrate and validate the performance and capability of the adaptive threshold algorithm.
Author Han, Bing Jie
Gou, Lin Feng
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Keywords Adaptive Threshold
Robust Fault Diagnosis
Linear Matrix Inequality (LMI)
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Title An Adaptive Threshold Algorithm Based on Satisfactory Filtering Principle
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