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/sl/article/research-on-noise-reduction-method-based-on-dtcwt-and-cyclic-singular-energy-difference-spectrum/>. Date accessed: 11 dec. 2024. 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/sl/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/sl/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. 11 Dec. 2024
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/sl/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/sl/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/sl/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)
Strojniški vestnik - Journal of Mechanical Engineering 66(2020)10, 613-626
© The Authors, CC-BY 4.0 Int. Change in copyright policy from 2022, Jan 1st.
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.