Open AccessResearch on Automatic Detection Method of Minor Faults in Electrical Components of Ejection Seat
Author(s) -
Ying Li
Publication year - 2019
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/631/4/042005
Subject(s) - fault (geology) , component (thermodynamics) , fault detection and isolation , process (computing) , computer science , range (aeronautics) , feature (linguistics) , engineering , artificial intelligence , linguistics , philosophy , physics , aerospace engineering , seismology , actuator , thermodynamics , geology , operating system
In order to solve the problems of high error rate and poor efficiency existing in the current ejection seat electrical fault detection process, the automatic detection method of ejection seat electrical component minor faults was studied, and the original features of component minor faults were effectively extracted with ant colony algorithm as component fault diagnosis comparison data. Combined with the minimum binary algorithm, the safe operation parameters of seat electrical components are calculated. Combined with the safe operation parameters, the mini-fault diagnostic device of ejection seat electrical components is constructed, and the original feature parameters of mini-faults of components are input into the underlying database of the diagnostic device. Once the operating parameters of seat components exceed the range of safety parameters, the original feature data of mini-faults in the database are extracted to screen and detect the mini-faults of seat, so as to quickly obtain the cause of the faults and complete the automatic detection of mini-faults of ejection seat electrical components. Finally, experiments show that the error rate of this method is reduced by more than 50 % compared with the traditional component fault location detection method, which fully meets the research requirements.