Bearing-Fault Detection Using the Meyer-Wavelet-Packets Algorithm

KAHAEI, Mohammad Hossein;TORBATIAN, M. ;POSHTAN, Javad .
Bearing-Fault Detection Using the Meyer-Wavelet-Packets Algorithm. 
Strojniški vestnik - Journal of Mechanical Engineering, [S.l.], v. 53, n.3, p. 186-192, august 2017. 
ISSN 0039-2480.
Available at: <https://www.sv-jme.eu/sl/article/bearing-fault-detection-using-the-meyer-wavelet-packets-algorithm/>. Date accessed: 20 dec. 2024. 
doi:http://dx.doi.org/.

Kahaei, M., Torbatian, M., & Poshtan, J.
(2007).
Bearing-Fault Detection Using the Meyer-Wavelet-Packets Algorithm.
Strojniški vestnik - Journal of Mechanical Engineering, 53(3), 186-192.
doi:http://dx.doi.org/

@article{.,
	author = {Mohammad Hossein Kahaei and M.  Torbatian and Javad  Poshtan},
	title = {Bearing-Fault Detection Using the Meyer-Wavelet-Packets Algorithm},
	journal = {Strojniški vestnik - Journal of Mechanical Engineering},
	volume = {53},
	number = {3},
	year = {2007},
	keywords = {bearing fault detection; MWP; algorithms; vibration signals; },
	abstract = {The localization property of wavelet packets in a time-frequency analysis has been successfully considered in many applications. In this paper, a new method of bearing-fault detection is investigated using a WP basis with the Meyer filter leading to the Meyer wavelet packets (MWPs) algorithm. The proposed MWP algorithm is evaluated for simulated and real-time signals. In this respect, an efficient method is used to greatly reduce the algorithm's computations. This makes the algorithm more suitable for the online detection of failures in bearings, and also an effective candidate for the processing of vibration signals in other mechanical systems.},
	issn = {0039-2480},	pages = {186-192},	doi = {},
	url = {https://www.sv-jme.eu/sl/article/bearing-fault-detection-using-the-meyer-wavelet-packets-algorithm/}
}

Kahaei, M.,Torbatian, M.,Poshtan, J.
2007 August 53. Bearing-Fault Detection Using the Meyer-Wavelet-Packets Algorithm. Strojniški vestnik - Journal of Mechanical Engineering. [Online] 53:3

%A Kahaei, Mohammad Hossein
%A Torbatian, M. 
%A Poshtan, Javad 
%D 2007
%T Bearing-Fault Detection Using the Meyer-Wavelet-Packets Algorithm
%B 2007
%9 bearing fault detection; MWP; algorithms; vibration signals; 
%! Bearing-Fault Detection Using the Meyer-Wavelet-Packets Algorithm
%K bearing fault detection; MWP; algorithms; vibration signals; 
%X The localization property of wavelet packets in a time-frequency analysis has been successfully considered in many applications. In this paper, a new method of bearing-fault detection is investigated using a WP basis with the Meyer filter leading to the Meyer wavelet packets (MWPs) algorithm. The proposed MWP algorithm is evaluated for simulated and real-time signals. In this respect, an efficient method is used to greatly reduce the algorithm's computations. This makes the algorithm more suitable for the online detection of failures in bearings, and also an effective candidate for the processing of vibration signals in other mechanical systems.
%U https://www.sv-jme.eu/sl/article/bearing-fault-detection-using-the-meyer-wavelet-packets-algorithm/
%0 Journal Article
%R 
%& 186
%P 7
%J Strojniški vestnik - Journal of Mechanical Engineering
%V 53
%N 3
%@ 0039-2480
%8 2017-08-18
%7 2017-08-18

Kahaei, Mohammad, M.  Torbatian, & Javad  Poshtan.
"Bearing-Fault Detection Using the Meyer-Wavelet-Packets Algorithm." Strojniški vestnik - Journal of Mechanical Engineering [Online], 53.3 (2007): 186-192. Web.  20 Dec. 2024

TY  - JOUR
AU  - Kahaei, Mohammad Hossein
AU  - Torbatian, M. 
AU  - Poshtan, Javad 
PY  - 2007
TI  - Bearing-Fault Detection Using the Meyer-Wavelet-Packets Algorithm
JF  - Strojniški vestnik - Journal of Mechanical Engineering
DO  - 
KW  - bearing fault detection; MWP; algorithms; vibration signals; 
N2  - The localization property of wavelet packets in a time-frequency analysis has been successfully considered in many applications. In this paper, a new method of bearing-fault detection is investigated using a WP basis with the Meyer filter leading to the Meyer wavelet packets (MWPs) algorithm. The proposed MWP algorithm is evaluated for simulated and real-time signals. In this respect, an efficient method is used to greatly reduce the algorithm's computations. This makes the algorithm more suitable for the online detection of failures in bearings, and also an effective candidate for the processing of vibration signals in other mechanical systems.
UR  - https://www.sv-jme.eu/sl/article/bearing-fault-detection-using-the-meyer-wavelet-packets-algorithm/

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	author = {Kahaei, M., Torbatian, M., Poshtan, J.},
	title = {Bearing-Fault Detection Using the Meyer-Wavelet-Packets Algorithm},
	journal = {Strojniški vestnik - Journal of Mechanical Engineering},
	volume = {53},
	number = {3},
	year = {2007},
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TY  - JOUR
AU  - Kahaei, Mohammad Hossein
AU  - Torbatian, M. 
AU  - Poshtan, Javad 
PY  - 2017/08/18
TI  - Bearing-Fault Detection Using the Meyer-Wavelet-Packets Algorithm
JF  - Strojniški vestnik - Journal of Mechanical Engineering; Vol 53, No 3 (2007): Strojniški vestnik - Journal of Mechanical Engineering
DO  - 
KW  - bearing fault detection, MWP, algorithms, vibration signals, 
N2  - The localization property of wavelet packets in a time-frequency analysis has been successfully considered in many applications. In this paper, a new method of bearing-fault detection is investigated using a WP basis with the Meyer filter leading to the Meyer wavelet packets (MWPs) algorithm. The proposed MWP algorithm is evaluated for simulated and real-time signals. In this respect, an efficient method is used to greatly reduce the algorithm's computations. This makes the algorithm more suitable for the online detection of failures in bearings, and also an effective candidate for the processing of vibration signals in other mechanical systems.
UR  - https://www.sv-jme.eu/sl/article/bearing-fault-detection-using-the-meyer-wavelet-packets-algorithm/

Kahaei, Mohammad, Torbatian, M., AND Poshtan, Javad.
"Bearing-Fault Detection Using the Meyer-Wavelet-Packets Algorithm" Strojniški vestnik - Journal of Mechanical Engineering [Online], Volume 53 Number 3 (18 August 2017)