@inproceedings{a46f764e8aa748fb933056ec929c25a6,
title = "Research on actuator fault health management method based on fuzzy cluster analysis",
abstract = "The equipment safety and reliability is improved by used health management technology. Considered the characteristics of the actuator health management, a health management method based on fuzzy cluster analysis is proposed in the flight control system. First, an actuator fault parameters model is created according to the characteristics of electric steering actuator. Then, the fault feature extraction and health situation assessment are analysed by applying fuzzy C-means clustering algorithm. Health prognostic is processed by the development of health situation to divide the health degree and health assessment results to apply the exponential smoothing method. The simulation results demonstrate the proposed algorithm is effective for the system.",
keywords = "Electric steering actuator, Feature extraction, Fuzzy cluster, Health management",
author = "Zhiyi Huang and Weiguo Zhang and Liyuan Sun and Xiaoxiong Liu",
year = "2012",
doi = "10.1007/978-1-4471-2467-2\_45",
language = "英语",
isbn = "9781447124665",
series = "Lecture Notes in Electrical Engineering",
pages = "383--391",
booktitle = "Electrical, Information Engineering and Mechatronics 2011 - Proceedings of the 2011 International Conference on Electrical, Information Engineering and Mechatronics, EIEM 2011",
note = "2011 International Conference on Electrical, Information Engineering and Mechatronics, EIEM 2011 ; Conference date: 23-12-2011 Through 25-12-2011",
}