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A Baseline-Free Damage Detection Method for Operation Structure Based on Nonlinear Ultrasonic Guided Waves

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Advances in Asset Management and Condition Monitoring

Abstract

For many heavy equipment, long-time running during the service is required and the stopping for damage detection means economic loss. Therefore, it is necessary to develop a detection method for operation equipment. The operation condition causes the structure vibrated due to their inherent properties. This paper utilizes the structure vibration as the pump wave of vibro-acoustic modulation (VAM) technical and the time domain analysis is adopted to detect fatigue crack. The pump wave, that is vibration, will cause the fatigue crack open and closing which means the different opening states of crack at different vibration moments. Then a baseline-free method associated with the difference index (DI) and sequence curve of DI is proposed in which the guided waves acquired from different vibration moments on fatigue crack beam are compared. In order to enhance the difference of guided waves under different vibration moments on fatigue crack beam, the nonlinear technical of cumulative harmonic is adopted and the appropriate central frequency of probe signal is selected based on the rationale of cumulative harmonic generation. An experiment is carried out on vibration test-bed to investigate the feasibility and robustness of this method. Results show that it is credible for the operation structure under the vibration near nature frequency in which the DI values of intact beam and cracked beam are in different orders of magnitude which verifies the feasibility of this baseline-free method.

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Acknowledgements

This work was supported by the National Science and Technology Major Project (2018ZX04011001).

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Correspondence to Fucai Li .

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Zhu, Y., Li, F. (2020). A Baseline-Free Damage Detection Method for Operation Structure Based on Nonlinear Ultrasonic Guided Waves. In: Ball, A., Gelman, L., Rao, B. (eds) Advances in Asset Management and Condition Monitoring. Smart Innovation, Systems and Technologies, vol 166. Springer, Cham. https://doi.org/10.1007/978-3-030-57745-2_81

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  • DOI: https://doi.org/10.1007/978-3-030-57745-2_81

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-57744-5

  • Online ISBN: 978-3-030-57745-2

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