Research Article
Composite Fault Signal Detection Method of Electromechanical Equipment Based on Empirical Mode Decomposition
@INPROCEEDINGS{10.1007/978-3-031-28867-8_1, author={Guolong Fu and Jintian Yin and Shengyi Wu and Li Liu and Zhihua Peng}, title={Composite Fault Signal Detection Method of Electromechanical Equipment Based on Empirical Mode Decomposition}, proceedings={Advanced Hybrid Information Processing. 6th EAI International Conference, ADHIP 2022, Changsha, China, September 29-30, 2022, Proceedings, Part II}, proceedings_a={ADHIP PART 2}, year={2023}, month={3}, keywords={Empirical mode decomposition Electromechanical equipment Fault signal Fault detection}, doi={10.1007/978-3-031-28867-8_1} }- Guolong Fu
Jintian Yin
Shengyi Wu
Li Liu
Zhihua Peng
Year: 2023
Composite Fault Signal Detection Method of Electromechanical Equipment Based on Empirical Mode Decomposition
ADHIP PART 2
Springer
DOI: 10.1007/978-3-031-28867-8_1
Abstract
Aiming at the problem of low detection accuracy when the traditional method is used to detect the composite fault signal of electromechanical equipment, a method for detecting the composite fault signal of electromechanical equipment based on empirical mode decomposition is proposed. In this paper, the operation information of the electromechanical equipment is collected first, and then the complex signal is identified based on the empirical mode decomposition theory, and the location of the complex fault area of the electromechanical equipment is completed to improve the detection accuracy. Finally, experiments are used to prove the advanced nature of the proposed method. The experimental results show that the fault diagnosis accuracy of the proposed method for electromechanical equipment is higher than 75%, the response time is less than 40 ms, and the memory occupation is less than 5500 kB, all of which are superior to the traditional method and have certain application value.
