Experimental Research on Machinery Fault Simulator (MFS): A Review

Aalim M. Mustafa; Jamal F. Nayfeh

doi:10.1109/PHM-Besancon49106.2020.00019

Experimental Research on Machinery Fault Simulator (MFS): A Review

Aalim M. Mustafa, Jamal F. Nayfeh

Prince Mohammad bin Fahd University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

5 Citations (Scopus)

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.

Original language	English
Title of host publication	Proceedings - 2020 Prognostics and Health Management Conference, PHM-Besancon 2020
Editors	Jianyu Long, Zhiqiang Pu, Ping Ding
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	72-78
Number of pages	7
ISBN (Electronic)	9781728156750
ISBN (Print)	9781728156767
DOIs	https://doi.org/10.1109/PHM-Besancon49106.2020.00019
Publication status	Published - 12 Jun 2020
Externally published	Yes
Event	2020 Prognostics and Health Management Conference - Besancon, France Duration: 4 May 2020 → 7 May 2020

Publication series

Name	Prognostics and Health Management Conference
Publisher	IEEE
Volume	2020
ISSN (Print)	2166-563X
ISSN (Electronic)	2166-5656

Conference

Conference	2020 Prognostics and Health Management Conference
Abbreviated title	PHM-Besancon 2020
Country/Territory	France
City	Besancon
Period	4/05/20 → 7/05/20

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 9 Industry, Innovation, and Infrastructure

Access to Document

10.1109/PHM-Besancon49106.2020.00019Licence: Unspecified

Cite this

Mustafa, A. M., & Nayfeh, J. F. (2020). Experimental Research on Machinery Fault Simulator (MFS): A Review. In J. Long, Z. Pu, & P. Ding (Eds.), Proceedings - 2020 Prognostics and Health Management Conference, PHM-Besancon 2020 (pp. 72-78). Article 9115521 (Prognostics and Health Management Conference; Vol. 2020). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/PHM-Besancon49106.2020.00019

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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 = "9781728156767",

series = "Prognostics and Health Management Conference",

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}

Mustafa, AM & Nayfeh, JF 2020, Experimental Research on Machinery Fault Simulator (MFS): A Review. in J Long, Z Pu & P Ding (eds), Proceedings - 2020 Prognostics and Health Management Conference, PHM-Besancon 2020., 9115521, Prognostics and Health Management Conference, vol. 2020, Institute of Electrical and Electronics Engineers Inc., pp. 72-78, 2020 Prognostics and Health Management Conference, Besancon, France, 4/05/20. https://doi.org/10.1109/PHM-Besancon49106.2020.00019

Experimental Research on Machinery Fault Simulator (MFS): A Review. / Mustafa, Aalim M.; Nayfeh, Jamal F.
Proceedings - 2020 Prognostics and Health Management Conference, PHM-Besancon 2020. ed. / Jianyu Long; Zhiqiang Pu; Ping Ding. Institute of Electrical and Electronics Engineers Inc., 2020. p. 72-78 9115521 (Prognostics and Health Management Conference; Vol. 2020).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Experimental Research on Machinery Fault Simulator (MFS)

T2 - 2020 Prognostics and Health Management Conference

AU - Mustafa, Aalim M.

AU - Nayfeh, Jamal F.

PY - 2020/6/12

Y1 - 2020/6/12

N2 - 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.

AB - 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.

KW - Diagnosis

KW - faults

KW - machine-health-monitoring

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M3 - Conference contribution

AN - SCOPUS:85087283559

SN - 9781728156767

T3 - Prognostics and Health Management Conference

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BT - Proceedings - 2020 Prognostics and Health Management Conference, PHM-Besancon 2020

A2 - Long, Jianyu

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PB - Institute of Electrical and Electronics Engineers Inc.

Y2 - 4 May 2020 through 7 May 2020

ER -

Mustafa AM, Nayfeh JF. Experimental Research on Machinery Fault Simulator (MFS): A Review. In Long J, Pu Z, Ding P, editors, Proceedings - 2020 Prognostics and Health Management Conference, PHM-Besancon 2020. Institute of Electrical and Electronics Engineers Inc. 2020. p. 72-78. 9115521. (Prognostics and Health Management Conference). doi: 10.1109/PHM-Besancon49106.2020.00019

Experimental Research on Machinery Fault Simulator (MFS): A Review

Abstract

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Conference

UN SDGs

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