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.
|Publication status||Published - 2014|
|Event||27th International Congress of Condition Monitoring and Diagnostic Engineering, COMADEM 2014 - Brisbane, Australia|
Duration: 16 Sep 2014 → 18 Sep 2014
Conference number: 27
|Conference||27th International Congress of Condition Monitoring and Diagnostic Engineering, COMADEM 2014|
|Abbreviated title||COMADEM 2014|
|Period||16/09/14 → 18/09/14|
- condition Based Maintenance
- condition monitoring
- signal analysis
- fast fourier transform
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.