Predictive maintenance for critical infrastructure
作者：
Highlights：
• The paper suggests a new approach to predictive maintenance that takes into account locations of system components.
• Our paper is the first in the literature to explore this approach to predictive maintenance.
• This new approach is formally defined as an NP-hard optimization problem.
• Multiple optimization and AI techniques are proposed to handle the defined problem.
• The algorithms are evaluated on a real waterline network.
摘要
•The paper suggests a new approach to predictive maintenance that takes into account locations of system components.•Our paper is the first in the literature to explore this approach to predictive maintenance.•This new approach is formally defined as an NP-hard optimization problem.•Multiple optimization and AI techniques are proposed to handle the defined problem.•The algorithms are evaluated on a real waterline network.
论文关键词：Predictive maintenance,Watermain defect prediction,Uncertainty
论文评审过程：Received 5 April 2022, Revised 22 June 2022, Accepted 3 August 2022, Available online 12 August 2022, Version of Record 19 August 2022.
论文官网地址：https://doi.org/10.1016/j.eswa.2022.118413
