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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author = "Erkki Jantunen and Idriss El-Thalji and David Baglee and Lag{\"o}, {Thomas L.}",
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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

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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.