Sensing Data-Based Degradation Estimation of Electromechanical Actuator Under Dynamic Operating Conditions

Yujie Zhang; Datong Liu; Qiang Miao; Yu Peng

doi:10.1109/jsen.2022.3208015

journal article Nov 15, 2022

Sensing Data-Based Degradation Estimation of Electromechanical Actuator Under Dynamic Operating Conditions

Yujie Zhang

Datong Liu

Qiang Miao

Yu Peng

IEEE Sensors Journal Vol. 22 No. 22 pp. 21837-21845 · Institute of Electrical and Electronics Engineers (IEEE)

View at Publisher Save 10.1109/jsen.2022.3208015

Topics

No keywords indexed for this article. Browse by subject →

References

30

[1]

10.1109/tr.2015.2403433

[2]

10.1109/tim.2018.2869193

[3]

10.1109/tim.2020.3001659

[4]

A hybrid statistical data-driven method for on-line joint state estimation of lithium-ion batteries

Yuchen Song, Datong Liu, Haitao Liao et al.

Applied Energy 10.1016/j.apenergy.2019.114408

[5]

10.1109/jsen.2020.2978140

[6]

10.1109/icphm53196.2022.9815832

[7]

10.3390/aerospace9070341

[8]

10.1016/j.ifacol.2015.09.526

[9]

10.1109/aero.2004.1368172

[10]

martin "Windings fault detection and prognosis in electro-mechanical flight control actuators operating in active-active configuration" Int Conf Prognostics Health Manage (2017)

[11]

10.1016/j.measurement.2020.107787

[12]

An improved Wiener process model with adaptive drift and diffusion for online remaining useful life prediction

Haitao Wang, Xiaobing Ma, Yu Zhao

Mechanical Systems and Signal Processing 10.1016/j.ymssp.2019.03.019

[13]

10.1109/tim.2018.2814067

[14]

10.1016/j.ymssp.2012.08.016

[15]

van der linden "EMA health monitoring: An overview" Recent Advances in Aerospace Actuation Systems and Components

[16]

10.1016/j.ymssp.2021.108673

[17]

10.1109/aero.2009.4839660

[18]

10.1016/j.measurement.2021.110565

[19]

10.1109/tr.2021.3087698

[20]

Unmanned Aerial Vehicle Flight Data Anomaly Detection and Recovery Prediction Based on Spatio-Temporal Correlation

Jie Zhong, Yujie Zhang, Jianyu Wang et al.

IEEE Transactions on Reliability 10.1109/tr.2021.3134369

[21]

10.1109/jsen.2022.3168875

[22]

10.1109/tii.2021.3066257

[23]

10.2514/1.i010171

[24]

10.1016/j.ymssp.2021.108053

[25]

10.1109/tsmc.2015.2389757

[26]

10.1109/aero.2009.4839661

[27]

10.1115/1.4026835

[28]

narasimhan "Combining model-based and feature-driven diagnosis approaches-a case study on electromechanical actuators" Proc 21st Int Workshop Princ Diagnosis (2010)

[29]

10.1109/phm.2011.5939533

[30]

10.1109/jsen.2022.3165398

Metrics

10

Citations

30

References

Details

Published: Nov 15, 2022
Vol/Issue: 22(22)
Pages: 21837-21845
License: View

Authors

Y

Yujie Zhang

College of Electrical Engineering, Sichuan University, Chengdu, China

D

Datong Liu

School of Electronics and Information Engineering, Harbin Institute of Technology, Harbin, China

Q

Qiang Miao

College of Electrical Engineering, Sichuan University, Chengdu, China

Y

Yu Peng

School of Electronics and Information Engineering, Harbin Institute of Technology, Harbin, China

Funding

National Natural Science Foundation of China Award: 61701131

China Postdoctoral Science Foundation Award: 2022M712234

Sichuan International Cooperation Base for Aerospace Information and Intelligent Equipment

Cite This Article

Yujie Zhang, Datong Liu, Qiang Miao, et al. (2022). Sensing Data-Based Degradation Estimation of Electromechanical Actuator Under Dynamic Operating Conditions. IEEE Sensors Journal, 22(22), 21837-21845. https://doi.org/10.1109/jsen.2022.3208015

Sensing Data-Based Degradation Estimation of Electromechanical Actuator Under Dynamic Operating Conditions

You May Also Like