文章基本信息

标题：Fault detection in airliner electro-mechanical actuators via hybrid particle filtering
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作者：M. Mazzoleni ; G. Maroni ; Y. Maccarana 等
期刊名称：IFAC PapersOnLine
印刷版ISSN：2405-8963
出版年度：2017
卷号：50
期号：1
页码：2860-2865
DOI：10.1016/j.ifacol.2017.08.640
语种：English
出版社：Elsevier
摘要：AbstractIn this paper, a modification of the standard particle filter algorithm is applied to face the fault detection issue, on an electro-mechanical actuator. The variant, based on a hybrid system interpretation of the health monitoring problem, is known as OTPF (Observation and Transition Particle Filter). By modeling each fault condition as a hybrid system mode, the method is able to assess the most likely regime for each time stamp. Following this approach, data were acquired from an electro-mechanical actuator, used in aerospace environment, under various fault conditions. The injected mechanical defects consisted in damages undergone by steel spheres, inside a ballscrew transmission system. Then, a model for each condition was identified and the proposed methodology applied. Simulation results show the superiority of the method with respect to the EKF (Extended Kalman Filter), especially because the distribution of the disturbances which affect the system is usually not gaussian.
关键词：KeywordsFault detectiondiagnosisParticle filteringDiagnosis of discrete eventhybrid systems