Predictive Maintenance Approach, Vibration Analysis and Fault Detection in an Industrial Fan Motor
Mehmet Mandi
Additional contact information
Mehmet Mandi: Istanbul Technical University
International Journal of Research and Scientific Innovation, 2025, vol. 12, issue 4, 292-302
Abstract:
In industrial facilities, the expected production, quality and machine efficiency are directly related to the implementation of appropriate maintenance activities. In order to reduce the effects of failures on the production program and the product, maintenance approaches consisting only of breakdown maintenance have been abandoned over time and modern techniques such as predictive maintenance, which allows the detection of catastrophic failures before they occur, have begun to be implemented. This article examines the predictive maintenance approach and the vibration analysis technique, which is the most commonly used predictive maintenance method. The article also examines the detection of failures in an industrial fan using the vibration analysis technique as a sample study.
Date: 2025
References: Add references at CitEc
Citations:
Downloads: (external link)
https://www.rsisinternational.org/journals/ijrsi/d ... -issue-4/292-302.pdf (application/pdf)
https://rsisinternational.org/journals/ijrsi/artic ... ndustrial-fan-motor/ (text/html)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:bjc:journl:v:12:y:2025:i:4:p:292-302
Access Statistics for this article
International Journal of Research and Scientific Innovation is currently edited by Dr. Renu Malsaria
More articles in International Journal of Research and Scientific Innovation from International Journal of Research and Scientific Innovation (IJRSI)
Bibliographic data for series maintained by Dr. Renu Malsaria ().