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Sunderland Repository records the research produced by the University of Sunderland including practice-based research and theses.

Problems with using Fast Fourier Transform for rotating equipment: Is it time for an update?

Jantunen, Erkki, El-Thalji, Idriss, Baglee, David and Lagö, Thomas (2014) Problems with using Fast Fourier Transform for rotating equipment: Is it time for an update? In: Comadem 2014 - Implications of life cycle analysis in asset and maintenance management, 16-18 Sep 2014, Brisbane Convention and Exhibition Centre, Australia. (Unpublished)

Item Type: Conference or Workshop Item (Paper)


Condition-Based Maintenance (CBM) is widely used to manage the condition of rotating machinery. They require a number of CBM tools to detect acous-tic and vibration signals. One such method is the Fast Fourier Transform (FFT). FFT converts a vibration signal from time domain to its equivalent fre-quency domain representation. Unfortunately, there are dramatic assumptions made related to the proper use of FFT. The paper will provide evidence that this approach may not be the perfect tool for fault detection and diagnosis. The paper celebrates with the limitations of FFT and does not muffle the culpa-bilities of our developed diagnosis culture. The aim is to challenge researchers to come up with something more developed to eventually take use of the processing power we have today.

COMADEM2.pdf - Accepted Version

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More Information

Depositing User: Barry Hall


Item ID: 5104
Official URL:

Users with ORCIDS

ORCID for David Baglee: ORCID iD

Catalogue record

Date Deposited: 26 Sep 2014 09:12
Last Modified: 02 Jul 2019 09:09


Author: David Baglee ORCID iD
Author: Erkki Jantunen
Author: Idriss El-Thalji
Author: Thomas Lagö

University Divisions

Faculty of Technology > School of Computer Science


Engineering > Automotive Engineering

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