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Article

Crack Localization in Operating Rotors Based on Multivariate Higher Order Dynamic Mode Decomposition

1
Hubei Key Laboratory of Mechanical Transmission and Manufacturing Engineering, Wuhan University of Science and Technology, Wuhan 430081, China
2
The Key Laboratory of Metallurgical Equipment and Control of Education Ministry, Wuhan University of Science and Technology, Wuhan 430081, China
3
School of Astronautics, Northwestern Polytechnical University, Xi’an 710072, China
*
Author to whom correspondence should be addressed.
Sensors 2022, 22(16), 6131; https://doi.org/10.3390/s22166131
Submission received: 27 July 2022 / Revised: 13 August 2022 / Accepted: 14 August 2022 / Published: 16 August 2022
(This article belongs to the Section Physical Sensors)

Abstract

A novel output-only crack localization method is proposed for operating rotors based on an enhanced higher-order dynamic mode decomposition (HODMD), in which the nonlinear breathing crack-induced super-harmonic characteristic components from multiple vibration measurement points are simultaneously extracted to compose the corresponding super-harmonic transmissibility damage indexes. Firstly, the theoretical background of the HODMD is briefly reviewed. Secondly, the proposed crack localization method is dedicated which improving the HODMD for multivariate signals by casting the total least square method into standard HODMD and adaptively selecting the order parameter of Koopman approximation by optimizing the super-harmonic frequency vector. In addition, the super-harmonic characteristic components are evaluated and harnessed to derive the damage index based on super-harmonic transmissibility and fractal dimension. Finally, the proposed method is investigated and demonstrated by numerical simulations and experiments. Both numerical and experimental results show that the proposed method is powerful in realizing multi-crack localization for running rotors accurately and robustly in the case of no baseline information on intact rotors. Moreover, the interferences from commonly existing steps and misalignment can also be eliminated.
Keywords: crack localization; rotors; nonlinear; higher-order dynamic mode decomposition crack localization; rotors; nonlinear; higher-order dynamic mode decomposition

Share and Cite

MDPI and ACS Style

Lu, Z.; Li, F.; Cao, S.; Yuan, R.; Lv, Y. Crack Localization in Operating Rotors Based on Multivariate Higher Order Dynamic Mode Decomposition. Sensors 2022, 22, 6131. https://doi.org/10.3390/s22166131

AMA Style

Lu Z, Li F, Cao S, Yuan R, Lv Y. Crack Localization in Operating Rotors Based on Multivariate Higher Order Dynamic Mode Decomposition. Sensors. 2022; 22(16):6131. https://doi.org/10.3390/s22166131

Chicago/Turabian Style

Lu, Zhiwen, Feng Li, Shancheng Cao, Rui Yuan, and Yong Lv. 2022. "Crack Localization in Operating Rotors Based on Multivariate Higher Order Dynamic Mode Decomposition" Sensors 22, no. 16: 6131. https://doi.org/10.3390/s22166131

APA Style

Lu, Z., Li, F., Cao, S., Yuan, R., & Lv, Y. (2022). Crack Localization in Operating Rotors Based on Multivariate Higher Order Dynamic Mode Decomposition. Sensors, 22(16), 6131. https://doi.org/10.3390/s22166131

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