Misalignment fault detection of magnetic suspension multi-span rotors based on improved adaptive notch filter

Aiming at misalignment vibration of magnetic suspension multi-span rotors coupling, a rotor misalignment fault detection method based on improved adaptive notch filter is proposed. First, a coupling misalignment dynamic model and a magnetic suspension multi-span rotors model were established, and the force analysis was carried out. Second, aiming at the problem of insufficient frequency recognition accuracy of traditional adaptive notch filter algorithm for signals containing direct current components, an improved adaptive notch filter algorithm is adopted. The improved adaptive notch filter algorithm with the same detection accuracy results in faster computation speed compared with fast Fourier transform, and does not require data caching. And the improved adaptive notch filter algorithm was simulated for detecting double and triple frequencies with varying amplitudes in rotor vibration displacement signals. Finally, experimental verification was conducted. The simulation and experimental results show that the misalignment fault detection method based on improved adaptive notch filter not only has high accuracy and small steady-state error, but also has fast convergence speed, and can achieve fault detection within 0.2 s.

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Publication Details

Journal
Journal of Vibration and Control
Published
2025-11-11
DOI
https://doi.org/10.1177/10775463251397323
Primary Topic
Magnetic Bearings and Levitation Dynamics
Type
article
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Misalignment fault detection of magnetic suspension multi-span rotors based on improved adaptive notch filter

Song Zhu, Shigang She, Xudong Guan, Hui Li et al.
Journal of Vibration and Control
Magnetic Bearings and Levitation Dynamics
article

Misalignment fault detection of magnetic suspension multi-span rotors based on improved adaptive notch filter

Song Zhu, Shigang She, Xudong Guan, Hui Li, Zhiwei Lu, Tong Liu
article en

Abstract

Aiming at misalignment vibration of magnetic suspension multi-span rotors coupling, a rotor misalignment fault detection method based on improved adaptive notch filter is proposed. First, a coupling misalignment dynamic model and a magnetic suspension multi-span rotors model were established, and the force analysis was carried out. Second, aiming at the problem of insufficient frequency recognition accuracy of traditional adaptive notch filter algorithm for signals containing direct current components, an improved adaptive notch filter algorithm is adopted. The improved adaptive notch filter algorithm with the same detection accuracy results in faster computation speed compared with fast Fourier transform, and does not require data caching. And the improved adaptive notch filter algorithm was simulated for detecting double and triple frequencies with varying amplitudes in rotor vibration displacement signals. Finally, experimental verification was conducted. The simulation and experimental results show that the misalignment fault detection method based on improved adaptive notch filter not only has high accuracy and small steady-state error, but also has fast convergence speed, and can achieve fault detection within 0.2 s.

Journal of Vibration and Control
Ford Motor Company (United States) (US), China University of Mining and Technology (CN), Ningbo City College of Vocational Technology (CN), Changzhou University (CN)
Openalex Percentile: Top 58%
Magnetic Bearings and Levitation Dynamics
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