Monitoring the Instantaneous Frequency Content of a Washing Machine during Startup

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Izvoz citacije: ABNT
SIMONOVSKI, Igor ;BOLTEŽAR, Miha .
Monitoring the Instantaneous Frequency Content of a Washing Machine during Startup. 
Strojniški vestnik - Journal of Mechanical Engineering, [S.l.], v. 47, n.1, p. 28-44, july 2017. 
ISSN 0039-2480.
Available at: <https://www.sv-jme.eu/sl/article/monitoring-the-instantaneous-frequency-content-of-a-washing-machine-during-startup/>. Date accessed: 11 apr. 2021. 
doi:http://dx.doi.org/.
Simonovski, I., & Boltežar, M.
(2001).
Monitoring the Instantaneous Frequency Content of a Washing Machine during Startup.
Strojniški vestnik - Journal of Mechanical Engineering, 47(1), 28-44.
doi:http://dx.doi.org/
@article{.,
	author = {Igor  Simonovski and Miha  Boltežar},
	title = {Monitoring the Instantaneous Frequency Content of a Washing Machine during Startup},
	journal = {Strojniški vestnik - Journal of Mechanical Engineering},
	volume = {47},
	number = {1},
	year = {2001},
	keywords = {non-stationary processes; windowed Fourier transform; continous wavelet transform; Gabor wavelet; washing machine; },
	abstract = {The Fourier integral transform is a very useful tool for analyzing the frequency content of steady processes. When dealing with non-stationary processes, however, other methods for determining the frequency content must be applied. This paper deals with the windowed Fourier transform and, the more recent, wavelet transform. The windowed Fourier transform uses basic functions that have an unlimited definition range and requires multiplication of the observed process with a time-limited window function to be able to detect local non-stationarities. The wavelet transform uses basic functions that have a limited definition range for the same purpose. In this paper we compare the ability of the windowed Fourier transform and the continous wavelet transform to monitor the frequency content of a non-stationary processwashing-machine startup. The results show that the windowed Fourier transform is inferior to the continous wavelet transform. The wide spread of windowed Fourier transform values only makes it possible to roughly determine the instantaneous drum-spin frequency band. Using the continous wavelet transform we were able to determine the instantaneous drum-spin frequency more accurately.},
	issn = {0039-2480},	pages = {28-44},	doi = {},
	url = {https://www.sv-jme.eu/sl/article/monitoring-the-instantaneous-frequency-content-of-a-washing-machine-during-startup/}
}
Simonovski, I.,Boltežar, M.
2001 July 47. Monitoring the Instantaneous Frequency Content of a Washing Machine during Startup. Strojniški vestnik - Journal of Mechanical Engineering. [Online] 47:1
%A Simonovski, Igor 
%A Boltežar, Miha 
%D 2001
%T Monitoring the Instantaneous Frequency Content of a Washing Machine during Startup
%B 2001
%9 non-stationary processes; windowed Fourier transform; continous wavelet transform; Gabor wavelet; washing machine; 
%! Monitoring the Instantaneous Frequency Content of a Washing Machine during Startup
%K non-stationary processes; windowed Fourier transform; continous wavelet transform; Gabor wavelet; washing machine; 
%X The Fourier integral transform is a very useful tool for analyzing the frequency content of steady processes. When dealing with non-stationary processes, however, other methods for determining the frequency content must be applied. This paper deals with the windowed Fourier transform and, the more recent, wavelet transform. The windowed Fourier transform uses basic functions that have an unlimited definition range and requires multiplication of the observed process with a time-limited window function to be able to detect local non-stationarities. The wavelet transform uses basic functions that have a limited definition range for the same purpose. In this paper we compare the ability of the windowed Fourier transform and the continous wavelet transform to monitor the frequency content of a non-stationary processwashing-machine startup. The results show that the windowed Fourier transform is inferior to the continous wavelet transform. The wide spread of windowed Fourier transform values only makes it possible to roughly determine the instantaneous drum-spin frequency band. Using the continous wavelet transform we were able to determine the instantaneous drum-spin frequency more accurately.
%U https://www.sv-jme.eu/sl/article/monitoring-the-instantaneous-frequency-content-of-a-washing-machine-during-startup/
%0 Journal Article
%R 
%& 28
%P 17
%J Strojniški vestnik - Journal of Mechanical Engineering
%V 47
%N 1
%@ 0039-2480
%8 2017-07-07
%7 2017-07-07
Simonovski, Igor, & Miha  Boltežar.
"Monitoring the Instantaneous Frequency Content of a Washing Machine during Startup." Strojniški vestnik - Journal of Mechanical Engineering [Online], 47.1 (2001): 28-44. Web.  11 Apr. 2021
TY  - JOUR
AU  - Simonovski, Igor 
AU  - Boltežar, Miha 
PY  - 2001
TI  - Monitoring the Instantaneous Frequency Content of a Washing Machine during Startup
JF  - Strojniški vestnik - Journal of Mechanical Engineering
DO  - 
KW  - non-stationary processes; windowed Fourier transform; continous wavelet transform; Gabor wavelet; washing machine; 
N2  - The Fourier integral transform is a very useful tool for analyzing the frequency content of steady processes. When dealing with non-stationary processes, however, other methods for determining the frequency content must be applied. This paper deals with the windowed Fourier transform and, the more recent, wavelet transform. The windowed Fourier transform uses basic functions that have an unlimited definition range and requires multiplication of the observed process with a time-limited window function to be able to detect local non-stationarities. The wavelet transform uses basic functions that have a limited definition range for the same purpose. In this paper we compare the ability of the windowed Fourier transform and the continous wavelet transform to monitor the frequency content of a non-stationary processwashing-machine startup. The results show that the windowed Fourier transform is inferior to the continous wavelet transform. The wide spread of windowed Fourier transform values only makes it possible to roughly determine the instantaneous drum-spin frequency band. Using the continous wavelet transform we were able to determine the instantaneous drum-spin frequency more accurately.
UR  - https://www.sv-jme.eu/sl/article/monitoring-the-instantaneous-frequency-content-of-a-washing-machine-during-startup/
@article{{}{.},
	author = {Simonovski, I., Boltežar, M.},
	title = {Monitoring the Instantaneous Frequency Content of a Washing Machine during Startup},
	journal = {Strojniški vestnik - Journal of Mechanical Engineering},
	volume = {47},
	number = {1},
	year = {2001},
	doi = {},
	url = {https://www.sv-jme.eu/sl/article/monitoring-the-instantaneous-frequency-content-of-a-washing-machine-during-startup/}
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TY  - JOUR
AU  - Simonovski, Igor 
AU  - Boltežar, Miha 
PY  - 2017/07/07
TI  - Monitoring the Instantaneous Frequency Content of a Washing Machine during Startup
JF  - Strojniški vestnik - Journal of Mechanical Engineering; Vol 47, No 1 (2001): Strojniški vestnik - Journal of Mechanical Engineering
DO  - 
KW  - non-stationary processes, windowed Fourier transform, continous wavelet transform, Gabor wavelet, washing machine, 
N2  - The Fourier integral transform is a very useful tool for analyzing the frequency content of steady processes. When dealing with non-stationary processes, however, other methods for determining the frequency content must be applied. This paper deals with the windowed Fourier transform and, the more recent, wavelet transform. The windowed Fourier transform uses basic functions that have an unlimited definition range and requires multiplication of the observed process with a time-limited window function to be able to detect local non-stationarities. The wavelet transform uses basic functions that have a limited definition range for the same purpose. In this paper we compare the ability of the windowed Fourier transform and the continous wavelet transform to monitor the frequency content of a non-stationary processwashing-machine startup. The results show that the windowed Fourier transform is inferior to the continous wavelet transform. The wide spread of windowed Fourier transform values only makes it possible to roughly determine the instantaneous drum-spin frequency band. Using the continous wavelet transform we were able to determine the instantaneous drum-spin frequency more accurately.
UR  - https://www.sv-jme.eu/sl/article/monitoring-the-instantaneous-frequency-content-of-a-washing-machine-during-startup/
Simonovski, Igor, AND Boltežar, Miha.
"Monitoring the Instantaneous Frequency Content of a Washing Machine during Startup" Strojniški vestnik - Journal of Mechanical Engineering [Online], Volume 47 Number 1 (07 July 2017)

Avtorji

Inštitucije

  • University of Ljubljana, Faculty of Mechanical Engineering, Slovenia
  • University of Ljubljana, Faculty of Mechanical Engineering, Slovenia

Informacije o papirju

Strojniški vestnik - Journal of Mechanical Engineering 47(2001)1, 28-44

The Fourier integral transform is a very useful tool for analyzing the frequency content of steady processes. When dealing with non-stationary processes, however, other methods for determining the frequency content must be applied. This paper deals with the windowed Fourier transform and, the more recent, wavelet transform. The windowed Fourier transform uses basic functions that have an unlimited definition range and requires multiplication of the observed process with a time-limited window function to be able to detect local non-stationarities. The wavelet transform uses basic functions that have a limited definition range for the same purpose. In this paper we compare the ability of the windowed Fourier transform and the continous wavelet transform to monitor the frequency content of a non-stationary processwashing-machine startup. The results show that the windowed Fourier transform is inferior to the continous wavelet transform. The wide spread of windowed Fourier transform values only makes it possible to roughly determine the instantaneous drum-spin frequency band. Using the continous wavelet transform we were able to determine the instantaneous drum-spin frequency more accurately.

non-stationary processes; windowed Fourier transform; continous wavelet transform; Gabor wavelet; washing machine;