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/article/bearing-fault-detection-using-the-meyer-wavelet-packets-algorithm/>. Date accessed: 05 nov. 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/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/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. 05 Nov. 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/article/bearing-fault-detection-using-the-meyer-wavelet-packets-algorithm/
@article{{}{.}, 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}, doi = {}, url = {https://www.sv-jme.eu/article/bearing-fault-detection-using-the-meyer-wavelet-packets-algorithm/} }
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/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)
Strojniški vestnik - Journal of Mechanical Engineering 53(2007)3, 186-192
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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.