Health indicator extraction with phase current for power electronics of electro-mechanical actuator

Abstract Electro-Mechanical Actuator (EMA) is a safety-critical actuation component in aerospace applications. The power electronics is an important part of EMA, and its degradation process needs to be studied to ensure operating safety. However, there is strict limitation on sensor placement in aerospace applications, which makes characterizing the degradation of EMA power electronics challenging. Thus, how to extract EMA Health Indicator (HI) to effectively characterize the degradation of EMA power electronics without adding specialized sensors is worth studying. In this study, based on the phase current, a fusion method of Mix Logical Dynamic model and Elastic Net Regression model, i.e., MLD-ENR method, is proposed for EMA HI extraction. To evaluate the effectiveness of the proposed MLD-ENR method, experiments are performed based on simulation and practical data. Experimental results show that MLD-ENR method has a good performance on HI extraction for power electronics of EMA.

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