Data anomaly detection for structural health monitoring by multi-view representation based on local binary patterns-Reference-Cited by-同舟云学术

Data anomaly detection for structural health monitoring by multi-view representation based on local binary patterns

Published:2022-10 Issue: Volume:202 Page:111804
ISSN:0263-2241
Container-title:Measurement
language:en
Short-container-title:Measurement

Author:

Zhang Youqi,Tang Zhiyi,Yang Ruijing

Funder

Academy of Finland

Publisher

Elsevier BV

Subject

Applied Mathematics,Electrical and Electronic Engineering,Condensed Matter Physics,Instrumentation

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4. Y. Ni, K. Wong, Integrating bridge structural health monitoring and condition-based maintenance management, in: 4th International Workshop on Civil Structural Health Monitoring, 2012, pp. 6–8.

5. A novel probabilistic method for robust parametric identification and outlier detection;Yuen;Probab. Eng. Mech.,2012

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