A structural damage localization method based on empirical probability mass function of ARMAX model residual and Kullback-Leibler divergence
DOI10.1142/S0219455424501463zbMATH Open1548.74967MaRDI QIDQ6585168
Yuzhu Xiao, Xiao Ma, Xinbo Li, Qingtian Deng, Xueli Song, Fengdan Wang, Ling-juan Ma
Publication date: 9 August 2024
Published in: International Journal of Structural Stability and Dynamics (Search for Journal in Brave)
Kullback-Leibler divergencesubstructuredamage localizationempirical data analysisARMAX model residualempirical probability mass function
Fracture and damage (74Rxx) Stochastic and other probabilistic methods applied to problems in solid mechanics (74S60)
Cites Work
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- Extreme Value Theory and Statistics of Univariate Extremes: A Review
- A novel real-time method for structural damage detection using Kalman filter and sensitivity analysis
- Gibbs sampler-based probabilistic damage detection of structures using reduced order model
- A novel acceleration-based approach for monitoring the long-term displacement of bridge cables
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