Fault detection and classification for flight control electromechanical actuators

Research of the Force Fighting at the Joint Work Dissimilar Electrohydraulic Actuator

“…цель исследования: изучение потенциальной возможности организации совместной работы разнородных электрогидравлических рулевых приводов на единую поверхность управления. В качестве объектов исследования авторами работы выбраны следующие типы приводов: двухрежимный электрогидравлический рулевой привод, как наиболее перспективный, по мнению ряда авторов [12][13][14], тип электрогидравлических приводов с электрическим энергопитанием, и привод с дроссельным регулированием скорости (ЭГРП), как наиболее часто применяемый тип рулевых приводов на борту существующих пилотируемых ЛА. Указанные выше приводы разнородны по типу силового энергопитания.…”

Condition Monitoring of Electro-Mechanical Actuators for Aerospace Using Batch Change Detection Algorithms

“…where the simplification in the last step follows since probability distributions integrate to one. Substituting the estimator (12) in (13), and approximating the integrals with empirical averages, leads to the following approximation of the α-relative divergence:…”

“…Condition monitoring approaches for EMAs already faced in the literature are, in addition to those aforementioned ones, presented in [11], [12], [13]. In the first work, the authors proposed a model-based approach tracking the estimates of a model's parameters.…”

Experimental Development of a Health Monitoring Method for Electro-Mechanical Actuators of Flight Control Primary Surfaces in More Electric Aircrafts

“…The Health On Line Monitoring for Electro-mechanical actuator Safety (HOLMES)-FP7 project [21] focused on developing fault detection and isolation (FDI) methods for EMAs mechanical components such as ballscrew transmission [22]- [25]. In the same way, the NASA funded several activities on fault diagnosis in aerospace using a flyable test-bed [26], [27]. A hybrid method, combining a signal-based and a knowledge-based method, based on machine learning classifiers, was proposed in [28].…”

“…Fault detection in aerospace EMAs for unmanned aerial system flight controls was proposed in [31]. Vibration symptoms of jam and metal flaking in the actuator ballscrew mechanism have been considered in [27]. Authors in [32] defined the structure that a knowledge-based approach to aerospace health monitoring, using expert systems, should have.…”