Abstract:In order to extract the valuable information from massive and usually unstructured datasets, increasingly, a novel nonparametric approach is proposed for detecting early signs of structural deterioration in civil infrastructure systems from vast field-monitoring datasets. The process adopted six-sample sliding window overtime at one-hour time increments to overcome the fact that the sampling times were not precisely consistent at all monitoring points. After data processing by this method, the eigenvalues and … Show more
“…Xing et al [4] found a novel nonparametric approach for detecting early signs of structural deterioration in civil infrastructure systems from vast field monitoring datasets. The process adopted a six-sample sliding window at one-hour time increments to overcome the fact that the sampling times were not precisely consistent at all monitoring points.…”
Due to the in-depth, yet incomplete, research on urban construction in many cities and towns, and the lack of considerations of symmetry, the rapid development of urban construction has led to a variety of urban disasters [...]
“…Xing et al [4] found a novel nonparametric approach for detecting early signs of structural deterioration in civil infrastructure systems from vast field monitoring datasets. The process adopted a six-sample sliding window at one-hour time increments to overcome the fact that the sampling times were not precisely consistent at all monitoring points.…”
Due to the in-depth, yet incomplete, research on urban construction in many cities and towns, and the lack of considerations of symmetry, the rapid development of urban construction has led to a variety of urban disasters [...]
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