Parametric Estimation of Equipment Failure Risk with Machine Learning and Constrained Optimization-Reference-Cited by-同舟云学术

Parametric Estimation of Equipment Failure Risk with Machine Learning and Constrained Optimization

Published:2023-02 Issue:1 Volume:37 Page:
ISSN:0887-3828
Container-title:Journal of Performance of Constructed Facilities
language:en
Short-container-title:J. Perform. Constr. Facil.

Author:

Betz Trevor¹^ORCID,El-Rayes Khaled²,Grussing Michael³,Landers Kirsten⁴,Bartels Louis⁵^ORCID

Affiliation:

1. Researcher, Engineer Research and Development Center, US Army Corps of Engineers, 2902 Newmark Dr., Champaign, IL 61822 (corresponding author). ORCID: .

2. Professor, Dept. of Civil and Environmental Engineering, Univ. of Illinois at Urbana-Champaign, Urbana, IL 61801.

3. Researcher, Engineer Research and Development Center, US Army Corps of Engineers, 2902 Newmark Dr., Champaign, IL 61822.

4. Computer Engineer, Engineer Research and Development Center, US Army Corps of Engineers, 2902 Newmark Dr., Champaign, IL 61822.

5. Researcher, Engineer Research and Development Center, US Army Corps of Engineers, 2902 Newmark Dr., Champaign, IL 61822. ORCID: .

Publisher

American Society of Civil Engineers (ASCE)

Subject

Safety, Risk, Reliability and Quality,Building and Construction,Civil and Structural Engineering

Link

https://ascelibrary.org/doi/pdf/10.1061/JPCFEV.CFENG-4284

Reference49 articles.

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2. Condition Rating Model for Underground Infrastructure Sustainable Water Mains

3. Probabilistic Assessment of Failure for United States Air Force Building Systems

4. Optimising maintenance cost by prioritising maintenance of facilities services in residential buildings

5. Aziz A. K. Sanwal V. Singhal and R. Brayton. 1996. “Verifying continuous time Markov chains.” In Proc. Int. Conf. on Computer Aided Verification 269–276. Berlin: Springer.

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