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.
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Funding
Hunan Provincial Department of Education Youth Fund Project (21B0690); National College Students Innovation and Entrepreneurship Training Program (202110547057); Hunan University student innovation and entrepreneurship training program (Xiangjiaotong [2021] No. 197, item 3385); Shaoyang City Science and Technology Plan Project (2021GZ039); Hunan Provincial Science and Technology Department Science and Technology Plan Project (2016TP1023).
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© 2023 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Fu, G., Yin, J., Wu, S., Liu, L., Peng, Z. (2023). Composite Fault Signal Detection Method of Electromechanical Equipment Based on Empirical Mode Decomposition. In: Fu, W., Yun, L. (eds) Advanced Hybrid Information Processing. ADHIP 2022. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 469. Springer, Cham. https://doi.org/10.1007/978-3-031-28867-8_1
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DOI: https://doi.org/10.1007/978-3-031-28867-8_1
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