Structural response recovery based on improved multi-scale principal component analysis considering sensor performance degradation
This article proposes an improved multi-scale principal component analysis approach to recover the structural dynamic response in the time domain from data measured by performance-deteriorated sensors. The proposed approach builds on discrete wavelet transform, principal component analysis, and inve...
| Main Authors: | , , , |
|---|---|
| Format: | Journal Article |
| Published: |
Multi-Science Publishing
2018
|
| Online Access: | http://hdl.handle.net/20.500.11937/61302 |
| _version_ | 1848760677509890048 |
|---|---|
| author | Ma, S. Li, Jun Hao, Hong Jiang, S. |
| author_facet | Ma, S. Li, Jun Hao, Hong Jiang, S. |
| author_sort | Ma, S. |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | This article proposes an improved multi-scale principal component analysis approach to recover the structural dynamic response in the time domain from data measured by performance-deteriorated sensors. The proposed approach builds on discrete wavelet transform, principal component analysis, and inverse discrete wavelet transform. The main approach is based on a cross-correlation calculation to better preserve the true structural vibration behavior as well as to recover the structural response from data measured by deteriorated sensors. Three sensor performance degradation models are considered in this study. Numerical studies are conducted first to demonstrate the effectiveness and accuracy of the proposed approach to recover the structural vibration response of an example spatial truss model considering sensor performance degradation under different loading scenarios. Experimental data on an in-field benchmark bridge are also analyzed to further validate and demonstrate the performance of the proposed approach. |
| first_indexed | 2025-11-14T10:19:35Z |
| format | Journal Article |
| id | curtin-20.500.11937-61302 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T10:19:35Z |
| publishDate | 2018 |
| publisher | Multi-Science Publishing |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-613022018-07-11T01:20:14Z Structural response recovery based on improved multi-scale principal component analysis considering sensor performance degradation Ma, S. Li, Jun Hao, Hong Jiang, S. This article proposes an improved multi-scale principal component analysis approach to recover the structural dynamic response in the time domain from data measured by performance-deteriorated sensors. The proposed approach builds on discrete wavelet transform, principal component analysis, and inverse discrete wavelet transform. The main approach is based on a cross-correlation calculation to better preserve the true structural vibration behavior as well as to recover the structural response from data measured by deteriorated sensors. Three sensor performance degradation models are considered in this study. Numerical studies are conducted first to demonstrate the effectiveness and accuracy of the proposed approach to recover the structural vibration response of an example spatial truss model considering sensor performance degradation under different loading scenarios. Experimental data on an in-field benchmark bridge are also analyzed to further validate and demonstrate the performance of the proposed approach. 2018 Journal Article http://hdl.handle.net/20.500.11937/61302 10.1177/1369433217717114 Multi-Science Publishing restricted |
| spellingShingle | Ma, S. Li, Jun Hao, Hong Jiang, S. Structural response recovery based on improved multi-scale principal component analysis considering sensor performance degradation |
| title | Structural response recovery based on improved multi-scale principal component analysis considering sensor performance degradation |
| title_full | Structural response recovery based on improved multi-scale principal component analysis considering sensor performance degradation |
| title_fullStr | Structural response recovery based on improved multi-scale principal component analysis considering sensor performance degradation |
| title_full_unstemmed | Structural response recovery based on improved multi-scale principal component analysis considering sensor performance degradation |
| title_short | Structural response recovery based on improved multi-scale principal component analysis considering sensor performance degradation |
| title_sort | structural response recovery based on improved multi-scale principal component analysis considering sensor performance degradation |
| url | http://hdl.handle.net/20.500.11937/61302 |