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20212026
most citedA change-point detection method for detecting and locating the abrupt changes in distributions of damage-sensitive features of SHM data, with application to structural condition assessment

12 citations · 15 across the 4 of their papers we have counts for

collaborators

4 papers

stat.AP2026

A warping function-based control chart for detecting distributional changes in damage-sensitive features for structural condition assessment

Zhicheng Chen, Wenyu Chen, Xinyi Lei

Data-driven damage detection methods achieve damage identification by analyzing changes in damage-sensitive features (DSFs) derived from structural health monitoring (SHM) data. Th…

stat.ME2023★ 1 cited

Detecting Multiple Change Points in Distributional Sequences Derived from Structural Health Monitoring Data: An Application to Bridge Damage Detection

Xinyi Lei, Zhicheng Chen

Detecting damage in critical structures using monitored data is a fundamental task of structural health monitoring, which is extremely important for maintaining structures' safety…

stat.ME2021★ 12 cited

A change-point detection method for detecting and locating the abrupt changes in distributions of damage-sensitive features of SHM data, with application to structural condition assessment

Xinyi Lei, Zhicheng Chen, Hui Li +1

Diagnosing the changes of structural behaviors using monitoring data is an important objective of structural health monitoring (SHM). The changes in structural behaviors are usuall…

stat.ME2021★ 2 cited

Functional outlier detection for density-valued data with application to robustify distribution to distribution regression

Xinyi Lei, Zhicheng Chen, Hui Li

Distributional data analysis, concerned with statistical analysis and modeling for data objects consisting of random probability density functions (PDFs) in the framework of functi…