Simulation of Civil Aviation Fault Diagnosis Based on Algorithms of Attribute Reduction
Jinglian Liu · Jisuanji fangzhen · 2010
In order to reduce the complexity of deciding whether civil aviation storage batteries are fault and improve diagnosis' accuracy,an improved attribute reduction algorithm based on discernibility list is given after doing deep research in roughset.The new algorithm is applied to simulation experiment of civil aviation storage batteries fault diagnosis.It solves the problem of redundancy characters in fault diagnosis and is proved to be effective and practical by the results of experiment.