@inproceedings{1dfd4b166b434907bc6181794bf9e792,
title = "Experimental Research on Machinery Fault Simulator (MFS): A Review",
abstract = "In this paper, we have reported published articles that used the machinery fault simulator (MFS) and MFS-Magnum machines developed by SpectraQuest as a tool to investigate the common faults developed in rotary machinery and further studies that help in condition-based maintenance. The aim of this survey is to provide a comprehensive review of published articles in the field of machine health monitoring performed with the machinery fault simulator (MFS). This survey will offer directions and recommendations for researchers who have MFS machines in their laboratories; moreover, it will also serve as a motivation for those who are thinking to obtain it. We have classified the literature into different topics and listed all papers with experimental results obtained from using the MFS machines. Misalignment, vibration, unbalance, shaft cracks, bearing faults, gearbox faults, Motor and variable frequency drive faults are some examples of elements studied in literature.",
keywords = "Diagnosis, faults, machine-health-monitoring, Machinery-Fault-Simulator-(MFS)",
author = "Mustafa, {Aalim M.} and Nayfeh, {Jamal F.}",
note = "Funding Information: ACKNOWLEDGMENT The authors would like to acknowledge the support provided by Prince Mohammad bin Fahd University. Publisher Copyright: {\textcopyright} 2020 IEEE.; 2020 Prognostics and Health Management Conference, PHM-Besancon 2020 ; Conference date: 04-05-2020 Through 07-05-2020",
year = "2020",
month = jun,
day = "12",
doi = "10.1109/PHM-Besancon49106.2020.00019",
language = "English",
isbn = "9781728156750",
series = "Prognostics and Health Management Conference",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "72--78",
editor = "Jianyu Long and Zhiqiang Pu and Ping Ding",
booktitle = "Proceedings - 2020 Prognostics and Health Management Conference, PHM-Besancon 2020",
address = "United States",
}