关键词: SFCM, 聚类算法, 故障诊断, 信息通道

Abstract: A Semi-Fuzzy C-Means algorithm based on revised Euclidean distance is proposed to improve the real-time capability and precision in fault pattern classified.The experimental results show that the proposed algorithm is found better than FCM clustering algorithms in convergence and precision.The example of fault diagnosis in an airborne weapon control system’s information channels is given.The experimental test of unsupervised clustering and fault pattern recognize to the information channels was developed by the new SFCM algorithm.The results show that the new algorithm can recognize adaptively and precisely in fault diagnosis of information channels.

Key words: Semi-Fuzzy C-Means（SFCM）, clustering algorithm, fault diagnosis, information channels