期刊
APPLIED SCIENCES-BASEL
卷 10, 期 10, 页码 -出版社
MDPI
DOI: 10.3390/app10103607
关键词
subspace system identification; data-driven stochastic subspace identification (SSI-DATA); covariance-driven stochastic subspace identification (SSI-COV); combined subspace system identification; PRISMA; damage detection; vibration-based damage detection
类别
资金
- Ministry of Higher Education, Malaysia
- Universiti Teknologi Malaysia (UTM) [4F800, 4J224]
- Ministry of Education, Youth, and Sports of the Czech Republic
- European Union (European Structural and Investment Funds Operational Program Research, Development, and Education) [CZ.02.1.01/0.0/0.0/16_025/0007293]
A large number of research studies in structural health monitoring (SHM) have presented, extended, and used subspace system identification. However, there is a lack of research on systematic literature reviews and surveys of studies in this field. Therefore, the current study is undertaken to systematically review the literature published on the development and application of subspace system identification methods. In this regard, major databases in SHM, including Scopus, Google Scholar, and Web of Science, have been selected and preferred reporting items for systematic reviews and meta-analyses (PRISMA) has been applied to ensure complete and transparent reporting of systematic reviews. Along this line, the presented review addresses the available studies that employed subspace-based techniques in the vibration-based damage detection (VDD) of civil structures. The selected papers in this review were categorized into authors, publication year, name of journal, applied techniques, research objectives, research gap, proposed solutions and models, and findings. This study can assist practitioners and academicians for better condition assessment of structures and to gain insight into the literature.
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