@inproceedings{cf4c409b5cd94b9d8a2de09cb110f409,
title = "Value of continuous monitoring systems in recurrent decision scenarios",
abstract = "Continuous monitoring systems have been applied to diversified systems for well-informed operations. Plenty research has devoted to system state prediction using the continuous data flow while engineering system owners still lack a systematic decision-making framework to maximize their benefits on adopting monitoring systems. This paper constructs such a decision-making framework, with which system owners can evaluate the operation cost change under specific operation modes. State-of-the-art system degradation models and maintenance policies have been reviewed. Finally, a battery asset management case study has been implemented to illustrate the efficiency of the framework.",
keywords = "Condition Monitoring, Decision Analysis, Maintenance, Value of Information",
author = "Xinyang Liu and Pingfeng Wang",
note = "Funding Information: This research is partially supported by the National Science Foundation through the Faculty Early Career development (CAREER) award (CMMI-1813111), and the project support by the U.S. Department of Energy's Office of Nuclear Energy under Award No. DE-NE0008899. Publisher Copyright: {\textcopyright} Proceedings of the 2020 IISE Annual. All Rights Reserved.; 2020 Institute of Industrial and Systems Engineers Annual Conference and Expo, IISE 2020 ; Conference date: 01-11-2020 Through 03-11-2020",
year = "2020",
language = "English (US)",
series = "Proceedings of the 2020 IISE Annual Conference",
publisher = "Institute of Industrial and Systems Engineers, IISE",
pages = "1509--1514",
editor = "L. Cromarty and R. Shirwaiker and P. Wang",
booktitle = "Proceedings of the 2020 IISE Annual Conference",
}