Clustering to Inform Infrastructure Inspections
Good inspections are crucial for managing risk and making decisions about facility maintenance. This paper proposes a method using the partitioning around medoids (PAM) algorithm to ensure that the inspector inspects a diverse set of components which maximize the information about the facility. We compares a number of different metrics by which to cluster the components using PAM, and evaluated the effectiveness of the clustering using Bayesian ANOVA testing.
Authors
- Sam Dulin (ORCID: https://orcid.org/0000-0003-2140-8200)
- Louis Bartels (ORCID: https://orcid.org/0000-0002-4029-3747)
- Trevor Betz (ORCID: https://orcid.org/0000-0002-4528-0216)
- Michael N. Grussing (ORCID: https://orcid.org/0000-0001-9918-0440)
Institutions
- United States Army Corps of Engineers (US)
- U.S. Army Engineer Research and Development Center (US)
Publication Details
- Journal
- Journal of Performance of Constructed Facilities
- Published
- 2024-10-07
- DOI
- https://doi.org/10.1061/jpcfev.cfeng-4813
- Citations
- 1
- Primary Topic
- Infrastructure Maintenance and Monitoring
- Type
- article
- Field-Weighted Citation Impact
- 0.26