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http://dx.doi.org/10.7471/ikeee.2021.25.2.330

Fault Detection of Aircraft Turbofan Engine System Using a Fault Detection Filter  

Bae, Junhyung (School of Electronic and Electrical Engineering, Daegu Catholic University)
Publication Information
Journal of IKEEE / v.25, no.2, 2021 , pp. 330-336 More about this Journal
Abstract
A typical way to reduce the number of hardware redundancy configurations is to implement them as analytical techniques for detecting, identifying and accepting failures with micro-controller. In this paper, one of the analytical techniques, the fault detection filter, is applied to aircraft turbofan engine system. The fault detection filter is a special type of observer that has the advantage of being able to determine the location of failures by maintaining a constant direction in the output space in the event of a particular failure. We present a single input/output dynamic system modeling of air turbine system in turbofan engine, a fault detection filter design, and simulation results applying it. Simulation results show that fault detection can be effectively applied as a sensitivity effect to the directionality of the detection filter.
Keywords
turbofan engine; fault detection filter; analytic redundancy method; air turbine system; FADEC;
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Times Cited By KSCI : 1  (Citation Analysis)
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