@inproceedings{8c2a704cb58844f3990151d745bce581,
title = "An Empirical Expert Study on the Status Quo and Potential of Predictive Maintenance in Industry",
abstract = "Predictive Maintenance (PdM) has become a focal point for both industry and research in recent years. While researchers develop increasingly complex mathematical models, the question remains how much can actually be put into practical use and add value to the industry. By conducting an empirical expert study, this publication answers how the industry perceives PdM's current status and potential. 62 responses of employees of European companies were analyzed. Five key findings are presented and backed by empirical data. The publication concludes by deriving actions for successful industrial development and implementation of PdM systems.",
keywords = "Condition Monitoring, Empirical Study, Industry, Predictive Maintenance",
author = "Simon Zhai and Stephanie Achatz and Michael Groher and Jordy Permadi and Gunther Reinhart",
note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 4th International Conference on Sensing, Diagnostics, Prognostics, and Control, SDPC 2020 ; Conference date: 05-08-2020 Through 07-08-2020",
year = "2020",
month = aug,
day = "5",
doi = "10.1109/SDPC49476.2020.9353177",
language = "English",
series = "Proceedings of 2020 International Conference on Sensing, Diagnostics, Prognostics, and Control, SDPC 2020",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "125--130",
editor = "Yong Qin and Zuo, {Ming J.} and Xiaojian Yi and Limin Jia and Dejan Gjorgjevikj",
booktitle = "Proceedings of 2020 International Conference on Sensing, Diagnostics, Prognostics, and Control, SDPC 2020",
}