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Article Dans Une Revue Actuators Année : 2022

A Fault Diagnosis Approach for Electromechanical Actuators with Simulating Model under Small Experimental Data Sample Condition

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Zhaoqin Peng
  • Fonction : Auteur
Zhengyi Sun
  • Fonction : Auteur
Juan Chen
  • Fonction : Auteur
Zilong Ping
  • Fonction : Auteur
Kunyu Dong
  • Fonction : Auteur
Yongling Fu
  • Fonction : Auteur

Résumé

Electromechanical actuators (EMAs) have shown a high efficiency in flight surface control with the development of more electric aircraft. In order to identify the abnormalities and potential failures of EMA, a methodology for fault diagnosis is developed. A simulating model of EMA is first built to perform different working states. Based on the modeling of EMA, the corresponding faults are then simulated to re-generate the fault data. Afterwards, a gated recurrent unit (GRU) and co-attention-based fault diagnosis approach is proposed to classify the working states of EMA. Experiments are conducted and a satisfying classification accuracy on simulated data is obtained. Furthermore, fault diagnosis on an actual working system is performed. The experimental results demonstrate that the proposed method has a high efficiency.

Dates et versions

hal-03907464 , version 1 (20-12-2022)

Identifiants

Citer

Zhaoqin Peng, Zhengyi Sun, Juan Chen, Zilong Ping, Kunyu Dong, et al.. A Fault Diagnosis Approach for Electromechanical Actuators with Simulating Model under Small Experimental Data Sample Condition. Actuators, 2022, 11 (3), pp.66. ⟨10.3390/act11030066⟩. ⟨hal-03907464⟩
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