文章基本信息

标题：Condition assessment of electro-mechanical actuators for aerospace using relative density-ratio estimation
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作者：M. Mazzoleni ; M. Scandella ; Y. Maccarana 等
期刊名称：IFAC PapersOnLine
印刷版ISSN：2405-8963
出版年度：2018
卷号：51
期号：15
页码：957-962
DOI：10.1016/j.ifacol.2018.09.070
语种：English
出版社：Elsevier
摘要：AbstractThis paper faces the problem of developing an effective Condition Monitoring algorithm (CM) for Electro-Mechanical Actuators (EMA) in aerospace applications. In this view, a test campaign has been carried out in order to progressively bring the EMA near to failure, by means of a test bench suitably developed. Various indicators have been computed from measured data, for a set of the EMA’s working regimes. The statistical distribution of the computed features is assessed and tracked over time. We propose an online statistical approach, based on density estimation techniques, in order to detect potential changes in the data distribution. The discovered changes are then interpreted as a modification of the EMA’s health state, leading to a first building block for a complete condition assessment strategy.
关键词：KeywordsCondition monitoringChange-point detectionKernel methodsTime-series