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

Erkki Jantunen; Idriss El-Thalji; David Baglee; Thomas L. Lagö

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 conference › Conference article › Scientific

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 language	English
Publication status	Published - 2014
Event	27th International Congress of Condition Monitoring and Diagnostic Engineering, COMADEM 2014 - Brisbane, Australia Duration: 16 Sept 2014 → 18 Sept 2014 Conference number: 27

Conference

Conference	27th International Congress of Condition Monitoring and Diagnostic Engineering, COMADEM 2014
Abbreviated title	COMADEM 2014
Country/Territory	Australia
City	Brisbane
Period	16/09/14 → 18/09/14

Keywords

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

Cite this

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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",

year = "2014",

language = "English",

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Problems with using Fast Fourier Transform for rotating equipment: Is it time for an update? / Jantunen, Erkki (Corresponding author); El-Thalji, Idriss; Baglee, David et al.
2014. Paper presented at 27th International Congress of Condition Monitoring and Diagnostic Engineering, COMADEM 2014, Brisbane, Queensland, Australia.

Research output: Contribution to conference › Conference article › Scientific

TY - CONF

T1 - Problems with using Fast Fourier Transform for rotating equipment

T2 - 27th International Congress of Condition Monitoring and Diagnostic Engineering, COMADEM 2014

AU - Jantunen, Erkki

AU - El-Thalji, Idriss

AU - Baglee, David

AU - Lagö, Thomas L.

N1 - Conference code: 27

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

Y2 - 16 September 2014 through 18 September 2014

ER -

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

Abstract

Conference

Keywords

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