Research on a Noise Reduction Method Based on DTCWT and the Cyclic Singular Energy Difference Spectrum

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CHEN, Xihui ;CHENG, Gang ;LIU, Ning ;SHI, Xinhui ;LOU, Wei .
Research on a Noise Reduction Method Based on DTCWT and the Cyclic Singular Energy Difference Spectrum. 
Strojniški vestnik - Journal of Mechanical Engineering, [S.l.], v. 66, n.10, p. 613-626, october 2020. 
ISSN 0039-2480.
Available at: <https://www.sv-jme.eu/article/research-on-noise-reduction-method-based-on-dtcwt-and-cyclic-singular-energy-difference-spectrum/>. Date accessed: 29 nov. 2021. 
doi:http://dx.doi.org/10.5545/sv-jme.2020.6704.
Chen, X., Cheng, G., Liu, N., Shi, X., & Lou, W.
(2020).
Research on a Noise Reduction Method Based on DTCWT and the Cyclic Singular Energy Difference Spectrum.
Strojniški vestnik - Journal of Mechanical Engineering, 66(10), 613-626.
doi:http://dx.doi.org/10.5545/sv-jme.2020.6704
@article{sv-jmesv-jme.2020.6704,
	author = {Xihui  Chen and Gang  Cheng and Ning  Liu and Xinhui  Shi and Wei  Lou},
	title = {Research on a Noise Reduction Method Based on DTCWT and the Cyclic Singular Energy Difference Spectrum},
	journal = {Strojniški vestnik - Journal of Mechanical Engineering},
	volume = {66},
	number = {10},
	year = {2020},
	keywords = {noise reduction, DTCWT, singular value decomposition, cyclic singular energy difference spectrum, vibration signal},
	abstract = {The gear is the most important part of the transmission system of mechanical equipment, and the monitoring and diagnosis of it can improve the reliability of mechanical equipment. However, mechanical equipment generally works in harsh working conditions. The gear vibration signal is subjected to strong noise interference in working conditions, which brings great challenges for the effective diagnosis of gear faults. This paper proposed a noise reduction method based on the dual-tree complex wavelet transform (DTCWT) and cyclic singular energy difference spectrum. First, the gear vibration signal containing strong noise interference is decomposed into a series of signal components with different frequency characteristics by using the time-frequency analysis ability of DTCWT. Then, cyclic singular energy difference spectrum is proposed based on the idea of a cascaded cycle and the successive elimination of noise interference to process each signal component with different frequency characteristics, and the termination conditions of cyclic singular energy difference spectrum can be set according to the noise interference distribution characteristics in different frequency bands. The final noise reduction of the original gear vibration signal can be realized based on signal reconstruction after the noise reduction processing of each signal components with different frequency bands. Finally, experiments are carried out to verify the effectiveness of the proposed method, which is effective and suitable for the noise reduction of the vibration signal.},
	issn = {0039-2480},	pages = {613-626},	doi = {10.5545/sv-jme.2020.6704},
	url = {https://www.sv-jme.eu/article/research-on-noise-reduction-method-based-on-dtcwt-and-cyclic-singular-energy-difference-spectrum/}
}
Chen, X.,Cheng, G.,Liu, N.,Shi, X.,Lou, W.
2020 October 66. Research on a Noise Reduction Method Based on DTCWT and the Cyclic Singular Energy Difference Spectrum. Strojniški vestnik - Journal of Mechanical Engineering. [Online] 66:10
%A Chen, Xihui 
%A Cheng, Gang 
%A Liu, Ning 
%A Shi, Xinhui 
%A Lou, Wei 
%D 2020
%T Research on a Noise Reduction Method Based on DTCWT and the Cyclic Singular Energy Difference Spectrum
%B 2020
%9 noise reduction, DTCWT, singular value decomposition, cyclic singular energy difference spectrum, vibration signal
%! Research on a Noise Reduction Method Based on DTCWT and the Cyclic Singular Energy Difference Spectrum
%K noise reduction, DTCWT, singular value decomposition, cyclic singular energy difference spectrum, vibration signal
%X The gear is the most important part of the transmission system of mechanical equipment, and the monitoring and diagnosis of it can improve the reliability of mechanical equipment. However, mechanical equipment generally works in harsh working conditions. The gear vibration signal is subjected to strong noise interference in working conditions, which brings great challenges for the effective diagnosis of gear faults. This paper proposed a noise reduction method based on the dual-tree complex wavelet transform (DTCWT) and cyclic singular energy difference spectrum. First, the gear vibration signal containing strong noise interference is decomposed into a series of signal components with different frequency characteristics by using the time-frequency analysis ability of DTCWT. Then, cyclic singular energy difference spectrum is proposed based on the idea of a cascaded cycle and the successive elimination of noise interference to process each signal component with different frequency characteristics, and the termination conditions of cyclic singular energy difference spectrum can be set according to the noise interference distribution characteristics in different frequency bands. The final noise reduction of the original gear vibration signal can be realized based on signal reconstruction after the noise reduction processing of each signal components with different frequency bands. Finally, experiments are carried out to verify the effectiveness of the proposed method, which is effective and suitable for the noise reduction of the vibration signal.
%U https://www.sv-jme.eu/article/research-on-noise-reduction-method-based-on-dtcwt-and-cyclic-singular-energy-difference-spectrum/
%0 Journal Article
%R 10.5545/sv-jme.2020.6704
%& 613
%P 14
%J Strojniški vestnik - Journal of Mechanical Engineering
%V 66
%N 10
%@ 0039-2480
%8 2020-10-14
%7 2020-10-14
Chen, Xihui, Gang  Cheng, Ning  Liu, Xinhui  Shi, & Wei  Lou.
"Research on a Noise Reduction Method Based on DTCWT and the Cyclic Singular Energy Difference Spectrum." Strojniški vestnik - Journal of Mechanical Engineering [Online], 66.10 (2020): 613-626. Web.  29 Nov. 2021
TY  - JOUR
AU  - Chen, Xihui 
AU  - Cheng, Gang 
AU  - Liu, Ning 
AU  - Shi, Xinhui 
AU  - Lou, Wei 
PY  - 2020
TI  - Research on a Noise Reduction Method Based on DTCWT and the Cyclic Singular Energy Difference Spectrum
JF  - Strojniški vestnik - Journal of Mechanical Engineering
DO  - 10.5545/sv-jme.2020.6704
KW  - noise reduction, DTCWT, singular value decomposition, cyclic singular energy difference spectrum, vibration signal
N2  - The gear is the most important part of the transmission system of mechanical equipment, and the monitoring and diagnosis of it can improve the reliability of mechanical equipment. However, mechanical equipment generally works in harsh working conditions. The gear vibration signal is subjected to strong noise interference in working conditions, which brings great challenges for the effective diagnosis of gear faults. This paper proposed a noise reduction method based on the dual-tree complex wavelet transform (DTCWT) and cyclic singular energy difference spectrum. First, the gear vibration signal containing strong noise interference is decomposed into a series of signal components with different frequency characteristics by using the time-frequency analysis ability of DTCWT. Then, cyclic singular energy difference spectrum is proposed based on the idea of a cascaded cycle and the successive elimination of noise interference to process each signal component with different frequency characteristics, and the termination conditions of cyclic singular energy difference spectrum can be set according to the noise interference distribution characteristics in different frequency bands. The final noise reduction of the original gear vibration signal can be realized based on signal reconstruction after the noise reduction processing of each signal components with different frequency bands. Finally, experiments are carried out to verify the effectiveness of the proposed method, which is effective and suitable for the noise reduction of the vibration signal.
UR  - https://www.sv-jme.eu/article/research-on-noise-reduction-method-based-on-dtcwt-and-cyclic-singular-energy-difference-spectrum/
@article{{sv-jme}{sv-jme.2020.6704},
	author = {Chen, X., Cheng, G., Liu, N., Shi, X., Lou, W.},
	title = {Research on a Noise Reduction Method Based on DTCWT and the Cyclic Singular Energy Difference Spectrum},
	journal = {Strojniški vestnik - Journal of Mechanical Engineering},
	volume = {66},
	number = {10},
	year = {2020},
	doi = {10.5545/sv-jme.2020.6704},
	url = {https://www.sv-jme.eu/article/research-on-noise-reduction-method-based-on-dtcwt-and-cyclic-singular-energy-difference-spectrum/}
}
TY  - JOUR
AU  - Chen, Xihui 
AU  - Cheng, Gang 
AU  - Liu, Ning 
AU  - Shi, Xinhui 
AU  - Lou, Wei 
PY  - 2020/10/14
TI  - Research on a Noise Reduction Method Based on DTCWT and the Cyclic Singular Energy Difference Spectrum
JF  - Strojniški vestnik - Journal of Mechanical Engineering; Vol 66, No 10 (2020): Strojniški vestnik - Journal of Mechanical Engineering
DO  - 10.5545/sv-jme.2020.6704
KW  - noise reduction, DTCWT, singular value decomposition, cyclic singular energy difference spectrum, vibration signal
N2  - The gear is the most important part of the transmission system of mechanical equipment, and the monitoring and diagnosis of it can improve the reliability of mechanical equipment. However, mechanical equipment generally works in harsh working conditions. The gear vibration signal is subjected to strong noise interference in working conditions, which brings great challenges for the effective diagnosis of gear faults. This paper proposed a noise reduction method based on the dual-tree complex wavelet transform (DTCWT) and cyclic singular energy difference spectrum. First, the gear vibration signal containing strong noise interference is decomposed into a series of signal components with different frequency characteristics by using the time-frequency analysis ability of DTCWT. Then, cyclic singular energy difference spectrum is proposed based on the idea of a cascaded cycle and the successive elimination of noise interference to process each signal component with different frequency characteristics, and the termination conditions of cyclic singular energy difference spectrum can be set according to the noise interference distribution characteristics in different frequency bands. The final noise reduction of the original gear vibration signal can be realized based on signal reconstruction after the noise reduction processing of each signal components with different frequency bands. Finally, experiments are carried out to verify the effectiveness of the proposed method, which is effective and suitable for the noise reduction of the vibration signal.
UR  - https://www.sv-jme.eu/article/research-on-noise-reduction-method-based-on-dtcwt-and-cyclic-singular-energy-difference-spectrum/
Chen, Xihui, Cheng, Gang, Liu, Ning, Shi, Xinhui, AND Lou, Wei.
"Research on a Noise Reduction Method Based on DTCWT and the Cyclic Singular Energy Difference Spectrum" Strojniški vestnik - Journal of Mechanical Engineering [Online], Volume 66 Number 10 (14 October 2020)

Authors

Affiliations

  • Hohai University, College of Mechanical and Electrical Engineering, China 1
  • China University of Mining and Technology, School of Mechatronic Engineering, China 2
  • China Coal Technology and Engineering Grope Shanghai Co., Ltd., China 3

Paper's information

Strojniški vestnik - Journal of Mechanical Engineering 66(2020)10, 613-626

https://doi.org/10.5545/sv-jme.2020.6704

The gear is the most important part of the transmission system of mechanical equipment, and the monitoring and diagnosis of it can improve the reliability of mechanical equipment. However, mechanical equipment generally works in harsh working conditions. The gear vibration signal is subjected to strong noise interference in working conditions, which brings great challenges for the effective diagnosis of gear faults. This paper proposed a noise reduction method based on the dual-tree complex wavelet transform (DTCWT) and cyclic singular energy difference spectrum. First, the gear vibration signal containing strong noise interference is decomposed into a series of signal components with different frequency characteristics by using the time-frequency analysis ability of DTCWT. Then, cyclic singular energy difference spectrum is proposed based on the idea of a cascaded cycle and the successive elimination of noise interference to process each signal component with different frequency characteristics, and the termination conditions of cyclic singular energy difference spectrum can be set according to the noise interference distribution characteristics in different frequency bands. The final noise reduction of the original gear vibration signal can be realized based on signal reconstruction after the noise reduction processing of each signal components with different frequency bands. Finally, experiments are carried out to verify the effectiveness of the proposed method, which is effective and suitable for the noise reduction of the vibration signal.

noise reduction, DTCWT, singular value decomposition, cyclic singular energy difference spectrum, vibration signal