Test tasks reduction and fault diagnosis based on historical data
Bin Li · Systems engineering and electronics · 2010
Aiming at the problem of complex test tasks and low fault location accuracy to avionics,a method based on historical data is proposed to reduce the test tasks and improve the fault location accuracy.A model of the avionics information system is built by using the rough set theory;the test tasks are reduced by using the novel discernibility function and minimum diagnosis error;the optimized test task set with minimum test time is chosen;the Bayes maximal posterior probability is introduced into fault diagnosis reasoning and the problem is concluded as an extremum problem with inequality constraints;the optimized result is got by the 0-1 programming implicit enumeration.The application to the inertial navigation component proves that the method is fast and effective.