Machine-Learning Model for Predicting Maintenance Costs of EPDM Roofing Systems-Reference-Cited by-同舟云学术

Machine-Learning Model for Predicting Maintenance Costs of EPDM Roofing Systems

Published:2023-12 Issue:6 Volume:37 Page:
ISSN:0887-3828
Container-title:Journal of Performance of Constructed Facilities
language:en
Short-container-title:J. Perform. Constr. Facil.

Author:

Alashari Mishal¹,El-Rayes Khaled²,Helaly Hadil³

Affiliation:

1. Ph.D. Candidate, Dept. of Civil and Environmental Engineering, Univ. of Illinois at Urbana-Champaign, 3140 Newmark Civil Engineering Bldg., 205 North Mathews Ave., Urbana, IL 61801 (corresponding author).

2. Professor, Dept. of Civil and Environmental Engineering, Univ. of Illinois at Urbana-Champaign, 3140 Newmark Civil Engineering Bldg., 205 North Mathews Ave., Urbana, IL 61801.

3. Ph.D. Candidate, Dept. of Civil and Environmental Engineering, Univ. of Illinois at Urbana-Champaign, 3140 Newmark Civil Engineering Bldg., 205 North Mathews Ave., Urbana, IL 61801.

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-4413

Reference59 articles.

1. Abdallah G. N. 2018. “Examining regional weather effects on single ply roofing membranes.” Master’s thesis Dept. of Engineering Youngstown State Univ.

2. Multivariate time series and regression models for forecasting annual maintenance costs of EPDM roofing systems

3. Anna S. 2018. “The advantages and disadvantages of various roof coatings.” Accessed October 21 2022. https://uploadarticle.com/the-advantages-and-disadvantages-of-various-roof-coatings/.

4. Enhancing building maintenance cost performance with proper management of spare parts

5. Bansal D. D. J. Evans and B. Jones. 2005. “A real-time predictive maintenance system for machine systems: An alternative to expensive motion sensing technology.” In Vol. 2005 of Proc. 2005 Sensors for Industry Conf. Sensors for Industry Conf. 39–44. New York: IEEE.

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