Human–Machine Collaboration Framework for Bridge Health Monitoring

Author:

Muin Sifat1,Chern Chrystal2ORCID,Mosalam Khalid M.3ORCID

Affiliation:

1. Research Assistant Professor, Sonny Astani Dept. of Civil and Environmental Engineering, Univ. of Southern California, Los Angeles, CA 90089-1036.

2. Graduate Student Researcher, Dept. of Civil and Environmental Engineering, Univ. of California, Berkeley, CA 94720-1710. ORCID: .

3. Taisei Professor of Civil Engineering & Director of the Pacific Earthquake Engineering Research (PEER) Center, Dept. of Civil and Environmental Engineering, Univ. of California, Berkeley, CA 94720-1710 (corresponding author). ORCID: .

Publisher

American Society of Civil Engineers (ASCE)

Reference38 articles.

1. Rotor health monitoring combining spin tests and data-driven anomaly detection methods;Abdul-Aziz A.;Struct. Health Monit.,2012

2. NGA-West2 Database

3. ASCE. 2021. “Report card for California’s infrastructure.” ASCE 2021 Report Card. Accessed March 14 2021. https://infrastructurereportcard.org/cat-item/bridges/.

4. Feature selection for ordinal text classification;Baccianella S.;Neural Comput.,2014

5. Boardman B. T. A. V. Sanchez G. Martin Z. Zafir E. Rinne and J. Tognoli. 2006. “Seismic response of the hwy 46/cholame creek bridge during the 2004 parkfield earthquake.” In Proc. SMIP06 Seminar on Utilization of Strong-Motion Data 101–116. Sacramento CA: California Strong Motion Instrumentation Program.

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