A Fault Diagnosis Platform of Actuators on Embedded IoT Microcontrollers

Author:

Chen Shaowei1,Huang Yanping2,Wen Pengfei1,Gu Chunyue1,Zhao Shuai3

Affiliation:

1. Northwestern Polytechnical University,School of Electronics and Information,Xi’an,China,710129

2. Luoyang Institute of Electro-Optical Equipment of AVIC,Department of Fire Control Electronics,Luoyang,China

3. Aalborg University,Department of Energy Technology,Aalborg,Denmark,9220

Publisher

IEEE

Reference20 articles.

1. Fault diagnosis and location of brushless dc motor system based on wavelet transform and artificial neural network;yu;International Conference on Electrical Machines 2010,2010

2. Research on actuator fault health management method based on fuzzy cluster analysis, Electrical;huang;Mechatronics Engineering & Information Technology,2011

3. Airborne electro-mechanical actuator test stand for development of prognostic health management systems;saxena;Journal of Social Welfare and Family Law,2010

4. Combining model-based and feature-driven diagnosis approaches-a case study on electromechanical actuators;narasimhan;21st International Workshop on Principles of Diagnosis,2010

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Machine Learning in Action: An Analysis of its Application for Fault Detection in Wireless Sensor Networks;2023 IEEE International Conference on Smart Information Systems and Technologies (SIST);2023-05-04

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