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

    Fingerprint

    Fast Fourier transforms
    Rotating machinery
    Fault detection
    Vibrations (mechanical)
    Failure analysis
    Acoustics
    Processing

    Keywords

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

    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.
    Jantunen, Erkki ; El-Thalji, Idriss ; Baglee, David ; Lagö, Thomas L. / 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.
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    title = "Problems with using Fast Fourier Transform for rotating equipment: Is it time for an update?",
    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.",
    keywords = "condition Based Maintenance, CBM, condition monitoring, signal analysis, fast fourier transform, FFT",
    author = "Erkki Jantunen and Idriss El-Thalji and David Baglee and Lag{\"o}, {Thomas L.}",
    note = "Project code: 82321 ; 27th International Congress of Condition Monitoring and Diagnostic Engineering, COMADEM 2014, COMADEM 2014 ; Conference date: 16-09-2014 Through 18-09-2014",
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    Jantunen, E, El-Thalji, I, Baglee, D & Lagö, TL 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, 16/09/14 - 18/09/14.

    Problems with using Fast Fourier Transform for rotating equipment : Is it time for an update? / Jantunen, Erkki (Corresponding author); El-Thalji, Idriss; Baglee, David; Lagö, Thomas L.

    2014. Paper presented at 27th International Congress of Condition Monitoring and Diagnostic Engineering, COMADEM 2014, Brisbane, Australia.

    Research output: Contribution to conferenceConference articleScientific

    TY - CONF

    T1 - Problems with using Fast Fourier Transform for rotating equipment

    T2 - Is it time for an update?

    AU - Jantunen, Erkki

    AU - El-Thalji, Idriss

    AU - Baglee, David

    AU - Lagö, Thomas L.

    N1 - Project code: 82321

    PY - 2014

    Y1 - 2014

    N2 - 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.

    AB - 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.

    KW - condition Based Maintenance

    KW - CBM

    KW - condition monitoring

    KW - signal analysis

    KW - fast fourier transform

    KW - FFT

    M3 - Conference article

    ER -

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