Methods for Mechanical Failures Assessment to Determine the Technical State of Aircraft Control Surface Electromechanical Actuator

Skryabin, Alexey; Veresnikov, Georgy

doi:10.1109/scm52931.2021.9507174

Cited by 1 publication

(1 citation statement)

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“…However, since EMA is an emerging technology, its reliability cannot satisfy the requirements of practical application in aircrafts [6]. It is difficult to maintain the reliability of EMA at a level that is not lower than that of the hydraulic servo system [7]. Although adding redundant elements can improve the reliability of the actuation system, it also increases the weight and cost and makes the control system much more complicated [8, 9].…”

Section: Introductionmentioning

confidence: 99%

A review of fault diagnosis, prognosis and health management for aircraft electromechanical actuators

Yin

Chen

et al. 2022

IET Electric Power Appl

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As More/All Electric Aircraft gradually become a research hotspot, electromechanical actuators (EMAs), which can directly convert electrical energy into mechanical energy, have gained more and more attention. However, since the reliability of EMA cannot meet the requirements of actual aircrafts, the practical application of EMA is severely limited. Therefore, fault diagnosis, prognosis and health management (DPHM), which can realise condition‐based maintenance (CBM), has become the key technology in the application of EMA. The aim is to summarise the research on EMA fault modes, fault diagnosis, prognosis and health management systematically and comprehensively. First, the basic structure and common fault modes of EMAs are introduced, and the failure mechanism of EMA is studied. Then, the algorithms of DPHM for EMAs are reviewed in detail. The perception strategies of data acquisition are analysed, and the EMA fault diagnosis methods, including model‐based and data‐driven methods, are reviewed. The research of remaining useful life (RUL) prediction and fault‐tolerant control are introduced. After that, some problems of the existing research on EMA DPHM and their potential solutions are put forward. Finally, several possible developing directions of research on EMA DPHM are predicted.

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Section: Introductionmentioning

confidence: 99%