Preventing Deterioration of Active Vibration Control Effect Due to Aging Deterioration and Damage based on Deep Learning

Preventing Deterioration of Active Vibration Control Effect Due to Aging Deterioration and Damage based on Deep Learning

Miao Cao, Songtao Xue

Abstract. When designing a building’s active vibration control, it is necessary to properly evaluate the effect on the control effect caused by changes in vibration characteristics due to aging deterioration and damage. However, although the previous designs have certain robustness against changes in vibration characteristics, they have insufficient on these control effect. In this paper, we establish a method based on deep learning to identify changes in vibration characteristics. Using this method, we can achieve to prevent reduction of the active control effect.

Keywords
Preventing Deterioration, Active Vibration Control, Deep Learning, Convolutional Neural Network, H∞ Control

Published online 2/20/2021, 8 pages
Copyright © 2021 by the author(s)
Published under license by Materials Research Forum LLC., Millersville PA, USA

Citation: Miao Cao, Songtao Xue, Preventing Deterioration of Active Vibration Control Effect Due to Aging Deterioration and Damage based on Deep Learning, Materials Research Proceedings, Vol. 18, pp 217-224, 2021

DOI: https://doi.org/10.21741/9781644901311-26

The article was published as article 26 of the book Structural Health Monitoring

Content from this work may be used under the terms of the Creative Commons Attribution 3.0 licence. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI.

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