Fault diagnosis of condenser rotor based on HVD and fine composite multi-scale dispersion entropy

Xiang Lin; Danqing Xia; Lijiang Dong; Xiaoxun Zhu; Baiyun Qian; Yanan Hao; Jia Gao

doi:10.1117/12.3025585

28 February 2024 Fault diagnosis of condenser rotor based on HVD and fine composite multi-scale dispersion entropy

Xiang Lin, Danqing Xia, Lijiang Dong, Xiaoxun Zhu, Baiyun Qian, Yanan Hao, Jia Gao

Proceedings Volume 13071, International Conference on Mechatronic Engineering and Artificial Intelligence (MEAI 2023); 1307118 (2024) https://doi.org/10.1117/12.3025585
Event: International Conference on Mechatronic Engineering and Artificial Intelligence (MEAI 2023), 2023, Shenyang, China

Abstract

Due to the presence of false components in Hilbert Vibration Decomposition (HVD), it is unable to accurately identify on-site faults. To address this issue, the Refined Composite Multiscale Dispersion Entropy (RCMDE) is applied to calculate the entropy curve of the vibration signal of the condenser and perform fault classification and recognition. The processing effect of the fault vibration data of the BENTLYRK4 rotor experimental platform using this method shows that the proposed method can effectively identify and diagnose rotor faults. The application of this method can complete the diagnosis and identification of actual operational condenser faults.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Xiang Lin, Danqing Xia, Lijiang Dong, Xiaoxun Zhu, Baiyun Qian, Yanan Hao, and Jia Gao "Fault diagnosis of condenser rotor based on HVD and fine composite multi-scale dispersion entropy", Proc. SPIE 13071, International Conference on Mechatronic Engineering and Artificial Intelligence (MEAI 2023), 1307118 (28 February 2024); https://doi.org/10.1117/12.3025585

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