Vibration-based hypervelocity impact identification and localization

Hypervelocity impact (HVI) vibration source identification and localization have found wide applications in many fields, such as manned spacecraft protection and machine tool collision damage detection and localization. In this paper, we study the synchrosqueezed transform (SST) algorithm and the te...

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Bibliographic Details
Published in:Frontiers of information technology & electronic engineering 2022-04, Vol.23 (4), p.515-529
Main Authors: Bao, Jiao, Liu, Lifu, Cao, Jiuwen
Format: Article
Language:English
Subjects:
Algorithms
Aluminum base alloys
Centroids
Communications Engineering
Computer Hardware
Computer Science
Computer Systems Organization and Communication Networks
Damage detection
Damage localization
Electrical Engineering
Electronics and Microelectronics
Hypervelocity impact
Instrumentation
Localization
Machine tools
Manned spacecraft
Metal plates
Networks
Regression models
Research Article
Stitching
Vibration
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Summary:Hypervelocity impact (HVI) vibration source identification and localization have found wide applications in many fields, such as manned spacecraft protection and machine tool collision damage detection and localization. In this paper, we study the synchrosqueezed transform (SST) algorithm and the texture color distribution (TCD) based HVI source identification and localization using impact images. The extracted SST and TCD image features are fused for HVI image representation. To achieve more accurate detection and localization, the optimal selective stitching features OS SST+TCD are obtained by correlating and evaluating the similarity between the sample label and each dimension of the features. Popular conventional classification and regression models are merged by voting and stacking to achieve the final detection and localization. To demonstrate the effectiveness of the proposed algorithm, the HVI data recorded from three kinds of high-speed bullet striking on an aluminum alloy plate is used for experimentation. The experimental results show that the proposed HVI identification and localization algorithm is more accurate than other algorithms. Finally, based on sensor distribution, an accurate four-circle centroid localization algorithm is developed for HVI source coordinate localization.
ISSN:2095-9184
2095-9230
DOI:10.1631/FITEE.2000483