An Adaptive Threshold Algorithm Based on Satisfactory Filtering Principle

Lin Feng Gou; Bing Jie Han

doi:10.4028/www.scientific.net/AMM.364.179

Paper Titles

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Evaluation of the Uncertainty in Constant Speed Fuel Consumption Test
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Numerical Simulation and Experimental Study on Fluid-Filled Hemispherical Shell under Impact
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An Adaptive Threshold Algorithm Based on Satisfactory Filtering Principle
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Grey New Information GRM(1,1) Model and its Application Based on Reciprocal Accumulated Generating and Background Value Optimization
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Pseudo Two-Hop Distributed Consensus Algorithm with Time-Delay
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Stability Prediction on Mathieu Equation of Delayed Periodic Term Based on Full-Discretization Method
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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 364An Adaptive Threshold Algorithm Based on...

An Adaptive Threshold Algorithm Based on Satisfactory Filtering Principle

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.

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Periodical:

Applied Mechanics and Materials (Volume 364)

Pages:

179-182

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.364.179

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Online since:

August 2013

Authors:

Lin Feng Gou, Bing Jie Han

Keywords:

Adaptive Threshold, Linear Matrix Inequality (LMI), Robust Fault Diagnosis

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