Abstract
The fault diagnosis of a rotating multi-blade system has been conducted using the vibration characteristics of the system. For the fault diagnosis, multi-dimensional features related to the system vibration characteristics were extracted and used for monitoring the system health condition in most of previous studies. Recently, blade tip timing (BTT) method becomes increasingly popular to measure the vibration signals of rotating multi-blade systems. Due to the under-sampling characteristics of the method, relatively low frequency components of the vibration signal can be only collected with the BTT method. In this study, a statistical index called the Mahalanobis distance is defined and employed for the fault diagnosis of a rotating multi-blade system having a crack. The effects of crack existence and signal to noise ratio on the reliability of the proposed method using BTT signals obtained with a simulation model are investigated in this study.
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Acknowledgments
This research was supported by the Basic Science Research Program through a grant from the National Research Foundation of Korea (NRF) funded by the Ministry of Science, ICT (NRF-2018R1A2A2A05022590).
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Jae Phil Chung received his B.S. degree in the Department of Mechanical Engineering in Hanyang University in 2018. He is working as a M.S. candidate in the Department of Mechanical Convergence Engineering in Hanyang University, Seoul, Korea. His research interests include structural vibration and dynamics.
Hong Hee Yoo received his B.S. and M.S. degrees in the Department of Mechanical Design in Seoul National University in 1980 and 1982. He received his Ph.D. degree in the Department of Mechanical Engineering and Applied Mechanics in the University of Michigan at Ann Arbor in 1989. He is a Professor in the Department of Mechanical Engineering at Hanyang University, Seoul, Korea. His research interests include multi-body dynamics, structural vibration and statistical uncertainty analysis in mechanics.
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Chung, J.P., Yoo, H.H. Blade fault diagnosis using Mahalanobis distance. J Mech Sci Technol 35, 1377–1385 (2021). https://doi.org/10.1007/s12206-021-0304-y
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DOI: https://doi.org/10.1007/s12206-021-0304-y