Infrastructures, Volume 8, Issue 3
2023 March - 24 articles
Cover Story: This paper proposes a novel approach called simplicial complex-enhanced topological manifold embedding for structural health monitoring (SHM). This approach involves two stages: (i) using a simplicial complex-based method for feature extraction in the temporal domain, and (ii) applying topological manifold embedding for dimension reduction in the spatial domain. The proposed method addresses the limitations of existing machine learning methods in SHM, such as the difficulty in automating high-dimensional spatial-temporal data representation, lack of robustness for uncertainties, and large data requirements for training. The proposed method is a new, alternative, and systematic approach for large-scale spatial-temporal data analytics of infrastructure systems. View this paper
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Infrastructures - ISSN 2412-3811