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

Erkki Jantunen (Corresponding author), Idriss El-Thalji, David Baglee, Thomas L. Lagö

    Research output: Contribution to conferenceConference articleScientific

    Abstract

    Condition-Based Maintenance (CBM) is widely used to manage the condition of rotating machinery. They require a number of CBM tools to detect acoustic and vibration signals. One such method is the Fast Fourier Transform (FFT). FFT converts a vibration signal from time domain to its equivalent frequency 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 culpabilities 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.
    Original languageEnglish
    Publication statusPublished - 2014
    Event27th International Congress of Condition Monitoring and Diagnostic Engineering, COMADEM 2014 - Brisbane, Australia
    Duration: 16 Sep 201418 Sep 2014
    Conference number: 27

    Conference

    Conference27th International Congress of Condition Monitoring and Diagnostic Engineering, COMADEM 2014
    Abbreviated titleCOMADEM 2014
    CountryAustralia
    CityBrisbane
    Period16/09/1418/09/14

    Keywords

    • condition Based Maintenance
    • CBM
    • condition monitoring
    • signal analysis
    • fast fourier transform
    • FFT

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  • Cite this

    Jantunen, E., El-Thalji, I., Baglee, D., & Lagö, T. L. (2014). Problems with using Fast Fourier Transform for rotating equipment: Is it time for an update?. Paper presented at 27th International Congress of Condition Monitoring and Diagnostic Engineering, COMADEM 2014, Brisbane, Australia.