DocumentCode :
7073
Title :
Aircraft electric system intermittent arc fault detection and location
Author :
Yaramasu, Anil ; Yinni Cao ; Guangjun Liu ; Bin Wu
Author_Institution :
Ryerson Univ., Toronto, ON, Canada
Volume :
51
Issue :
1
fYear :
2015
fDate :
Jan-15
Firstpage :
40
Lastpage :
51
Abstract :
Intermittent arc faults appear in aircraft power systems in unpredictable ways when the degraded wires are wet, vibrating against metal structures, or under mechanical stresses. They could evolve into serious faults that may cause onboard fires, power interruptions, system damage and catastrophic incidents, and thus have raised concern. Recent trends in solid state power controllers (SSPCs) motivated the development of nondestructive diagnostic methods for health monitoring of aircraft wiring. In this paper, the ABCD matrix (or transmission matrix) modeling method is introduced to derive normal and faulty load circuit models with better accuracy and reduced complexity compared to the differential equation approach, and an intermittent arc fault detection method is proposed based on temporary deviations of load circuit model coefficients and wiring parameters. Furthermore, based on the faulty wiring model, a genetic algorithm is proposed to estimate the fault-related wiring parameters such as intermittent arc location and average intermittent arc resistance. The proposed method can be applied to both the alternating current power distribution system (PDS) and the direct current (DC) PDS. Experiments using a DC power source have been conducted, and the experimental results have demonstrated effectiveness of the proposed method.
Keywords :
aircraft power systems; arcs (electric); computational complexity; fault location; genetic algorithms; matrix algebra; power control; power distribution faults; power distribution reliability; power system parameter estimation; wiring; ABCD matrix modeling method; DC PDS; SSPC; aircraft electric power system; aircraft wiring health monitoring; alternating current power distribution system; arc fault detection; arc fault location; catastrophic incident; complexity reduction; direct current PDS; fault-related wiring parameter estimation; faulty load circuit model; genetic algorithm; mechanical stress; nondestructive diagnostic methods; power interruption; solid state power controller; Aircraft; Circuit faults; Integrated circuit modeling; Load modeling; Mathematical model; Wires; Wiring;
fLanguage :
English
Journal_Title :
Aerospace and Electronic Systems, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9251
Type :
jour
DOI :
10.1109/TAES.2014.120556
Filename :
7073474
Link To Document :
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