Show simple item record

Realising the decomposition of a multi‐frequency signal under the coloured noise background by the adaptive stochastic resonance in the non‐linear system with periodic potential

dc.contributor.authorHuang, Xiaogang
dc.contributor.authorZhang, Jingling
dc.contributor.authorLv, Meilei
dc.contributor.authorShen, Gang
dc.contributor.authorYang, Jianhua
dc.date.accessioned2021-01-05T18:45:33Z
dc.date.available2021-01-05T18:45:33Z
dc.date.issued2018-09
dc.identifier.citationHuang, Xiaogang; Zhang, Jingling; Lv, Meilei; Shen, Gang; Yang, Jianhua (2018). "Realising the decomposition of a multi‐frequency signal under the coloured noise background by the adaptive stochastic resonance in the non‐linear system with periodic potential." IET Signal Processing 12(7): 930-936.
dc.identifier.issn1751-9683
dc.identifier.issn1751-9683
dc.identifier.urihttps://hdl.handle.net/2027.42/163832
dc.publisherThe Institution of Engineering and Technology
dc.publisherWiley Periodicals, Inc.
dc.subject.otherparticle swarm optimisation
dc.subject.otherrandom processes
dc.subject.othermultifrequency signal decomposition
dc.subject.othercoloured noise background
dc.subject.otheradaptive stochastic resonance
dc.subject.othernonlinear system
dc.subject.otherperiodic potential system
dc.subject.otherC1260S Signal processing theory
dc.subject.otherEMD method
dc.subject.otherclassic bistable system
dc.subject.otherrandom particle swarm optimisation algorithm
dc.subject.othersignal‐to‐noise ratio
dc.subject.othersignal processing problems
dc.subject.otherB0240Z Other topics in statistics
dc.subject.otherB0260 Optimisation techniques
dc.subject.otherB6140 Signal processing and detection
dc.subject.otherC1140Z Other topics in statistics
dc.subject.otherC1180 Optimisation techniques
dc.subject.otherempirical mode decomposition method
dc.subject.othernonlinear systems
dc.subject.otherstochastic processes
dc.subject.otheradaptive signal processing
dc.titleRealising the decomposition of a multi‐frequency signal under the coloured noise background by the adaptive stochastic resonance in the non‐linear system with periodic potential
dc.typeArticle
dc.rights.robotsIndexNoFollow
dc.subject.hlbsecondlevelElectrical Engineering
dc.subject.hlbtoplevelEngineering
dc.description.peerreviewedPeer Reviewed
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/163832/1/sil2bf00663.pdf
dc.identifier.doi10.1049/iet-spr.2017.0532
dc.identifier.sourceIET Signal Processing
dc.identifier.citedreferenceBeato, V., Sendiña, N.I., Gerdes, I. et al: ‘ Coherence resonance in a chemical excitable system driven by colored noise ’, Philos. T. Roy. Soc. A, 2008, 366, pp. 381 – 395
dc.identifier.citedreferenceHuang, N.E., Shen, Z., Long, S.R. et al: ‘ The empirical mode decomposition and the Hilbert spectrum for nonlinear and non‐stationary time series analysis ’, Proc. R. Soc. Lond. A, 1998, 454, pp. 903 – 995
dc.identifier.citedreferenceWang, J., Shang, P.J., Xia, J.A. et al: ‘ EMD based refined composite multiscale entropy analysis of complex signals ’, Physica A, 2015, 421, pp. 583 – 593
dc.identifier.citedreferenceSaidi, L., Ali, J.B., Fnaiech, F.: ‘ Bi‐spectrum based‐EMD applied to the non‐stationary vibration signals for bearing faults diagnosis ’, ISA Trans., 2014, 53, pp. 1650 – 1660
dc.identifier.citedreferenceLv, Y., Yuan, R., Song, G.B.: ‘ Multivariate empirical mode decomposition and its application to fault diagnosis of rolling bearing ’, Mech. Syst. Signal Process., 2016, 81, pp. 219 – 234
dc.identifier.citedreferenceFeng, Z.P., Liang, M., Zhang, Y. et al: ‘ Fault diagnosis for wind turbine planetary gearboxes via demodulation analysis based on ensemble empirical mode decomposition and energy separation ’, Renew. Energy, 2012, 47, pp. 112 – 126
dc.identifier.citedreferenceChen, X.H., Cheng, G., Shan, X.L. et al: ‘ Research of weak fault feature information extraction of planetary gear based on ensemble empirical mode decomposition and adaptive stochastic resonance ’, Measurement, 2015, 73, pp. 55 – 67
dc.identifier.citedreferenceShi, P.M., An, S.J., Li, P. et al: ‘ Signal feature extraction based on cascaded multi‐stable stochastic resonance denoising and EMD method ’, Measurement, 2016, 90, pp. 318 – 328
dc.identifier.citedreferenceBenzi, R., Sutera, A., Vulpiana, A.: ‘ The mechanism of stochastic resonance ’, J. Phys. A, Math. Gen., 1981, 14, pp. 453 – 457
dc.identifier.citedreferenceLi, J., Chen, X., He, Z.: ‘ Adaptive stochastic resonance method for impact signal detection based on sliding window ’, Mech. Syst. Signal Process., 2013, 36, pp. 240 – 255
dc.identifier.citedreferenceQin, Y., Tao, Y., He, Y. et al: ‘ Adaptive bistable stochastic resonance and its application in mechanical fault feature extraction ’, J. Sound Vib., 2014, 333, pp. 7386 – 7400
dc.identifier.citedreferenceZhou, B.C., Xu, W.: ‘ Stochastic resonance in an asymmetric bistable system driven by mixed periodic force and noises ’, Acta Phys. Sin‐ch. ed, 2007, 56, pp. 5623 – 5628
dc.identifier.citedreferenceLong, F., Guo, W., Mei, D.C.: ‘ Stochastic resonance induced by bounded noise and periodic signal in an asymmetric bistable system ’, Physica A, 2012, 391, pp. 5305 – 5310
dc.identifier.citedreferenceNicolis, C.: ‘ Stochastic resonance in multistable systems: the role of intermediate states ’, Phys. Rev. E, 2010, 82, p. 011139
dc.identifier.citedreferenceSaikia, S.: ‘ The role of damping on stochastic resonance in a periodic potential ’, Physica A, 2014, 416, pp. 411 – 420
dc.identifier.citedreferenceLiu, K.H., Jin, Y.F.: ‘ Stochastic resonance in periodic potentials driven by colored noise ’, Physica A, 2013, 392, pp. 5283 – 5288
dc.identifier.citedreferenceYang, J.H., Liu, X.B.: ‘Sequential vibrational resonance in multistable systems’, 2011, preprint 1106.3431
dc.identifier.citedreferenceLiu, X.L., Liu, H.G., Yang, J.H. et al: ‘ Improving the bearing fault diagnosis efficiency by the adaptive stochastic resonance in a new nonlinear system ’, Mech. Syst. Signal Process., 2017, 96, pp. 58 – 76
dc.identifier.citedreferenceWang, C.Y., Gao, Y., Song, Y.M. et al: ‘ Stochastic systems with cross‐correlated Gaussian white noises ’, Chinese Phys. B, 2010, 19, p. 116401
dc.identifier.citedreferencePrigogine, I., Rice, S.A.: ‘ Colored noise in dynamical systems ’, Adv. Chem. Phys., 2007, 48, p. 239
dc.identifier.citedreferenceHanggi, P., Moss, F., Mcclintock, P.V.E.: ‘ Bistability driven by colored noise: theory and experiment ’, Phys. Rev. A, 1985, 32, pp. 695 – 698
dc.identifier.citedreferenceJung, P., Hanggi, P.: ‘ Dynamical systems: a unified colored‐noise approximation ’, Phys. Rev. A, 1987, 35, pp. 4464 – 4466
dc.identifier.citedreferenceHanggi, P., Jung, P., Zerbe, C. et al: ‘ Can colored noise improve stochastic resonance ’, J. Stat. Phys., 1993, 70, pp. 25 – 47
dc.identifier.citedreferenceBarajasSolano, D.A., Tartakovsky, A.M.: ‘ Probabilistic density function method for nonlinear dynamical systems driven by colored noise ’, Phys. Rev. E, 2016, 93, p. 052121
dc.identifier.citedreferenceYang, B., Zhang, X., Zhang, L. et al: ‘ Collective behavior of globally coupled Langevin equations with colored noise in the presence of stochastic resonance ’, Phys. Rev. E, 2016, 94, p. 022119
dc.identifier.citedreferenceFang, K., Hu, S.Q., Liu, Q.W. et al: ‘ Effects of the colored noise on the resonance at the subharmonic frequency in bistable systems ’, Chinese J. Phys., 2017, 55, pp. 989 – 995
dc.identifier.citedreferenceXu, B., Li, J., Duan, F. et al: ‘ Effects of colored noise on multi‐frequency signal processing via stochastic resonance with tuning system parameters ’, Chaos Soliton. Fract., 2003, 16, pp. 93 – 106
dc.identifier.citedreferenceMa, J., Xiao, T.J., Hou, Z.H. et al: ‘ Coherence resonance induced by colored noise near Hopf bifurcation ’, Chaos, 2008, 18, p. 043116
dc.identifier.citedreferenceYang, Y.F., Wu, Y.F.: ‘ Applications of empirical mode decomposition in vibration analysis ’ ( National Defense Industry Press, Beijing, China, 2013, 1st edn. ), pp. 19 – 20
dc.identifier.citedreferenceXu, B., Duan, F., Bao, R. et al: ‘ Stochastic resonance with tuning system parameters: the application of bistable systems in signal processing ’, Chaos Soliton. Fract., 2002, 13, pp. 633 – 644
dc.identifier.citedreferenceGammaitoni, L., Hanggi, P., Jung, P. et al: ‘ Stochastic resonance ’, Rev. Mod. Phys., 1998, 70, pp. 223 – 287
dc.identifier.citedreferenceMcnamara, B., Wiesenfeld K., ‘ Theory of stochastic resonance ’, Phys. Rev. A, 1989, 39, pp. 4854 – 4869
dc.identifier.citedreferenceLu, S.L., He, Q.B., Zhang, H.B. et al: ‘ Enhanced rotating machine fault diagnosis based on time‐delayed feedback stochastic resonance ’, J. Vib. Acoust., 2015, 137, p. 051008
dc.identifier.citedreferenceMarini, F., Walczak, B.: ‘ Particle swarm optimization (PSO). A tutorial ’, Chemometr. Intell. Lab., 2015, 149, pp. 153 – 165
dc.identifier.citedreferenceGuedria, N.B.: ‘ Improved accelerated PSO algorithm for mechanical engineering optimization problems ’, Appl. Soft Comput., 2016, 40, pp. 455 – 467
dc.identifier.citedreferenceTsoulos, I.G., Stavrakoudis, A.: ‘ Enhancing PSO methods for global optimization ’, Appl. Math. Comput., 2010, 216, pp. 2988 – 3001
dc.identifier.citedreferenceIchiki, A., Tadokoro, Y.: ‘ Signal‐to‐noise ratio improvement by stochastic resonance in moments in non‐dynamical systems with multiple states ’, Phys. Let. A, 2013, 377, pp. 185 – 188
dc.identifier.citedreferenceHu, H.Y.: ‘ Applied nonlinear dynamics ’ ( China Aeronautical Industry Press, Beijing, China, 2000, 1st edn. ), pp. 68 – 75
dc.owningcollnameInterdisciplinary and Peer-Reviewed


Files in this item

Show simple item record

Remediation of Harmful Language

The University of Michigan Library aims to describe library materials in a way that respects the people and communities who create, use, and are represented in our collections. Report harmful or offensive language in catalog records, finding aids, or elsewhere in our collections anonymously through our metadata feedback form. More information at Remediation of Harmful Language.

Accessibility

If you are unable to use this file in its current format, please select the Contact Us link and we can modify it to make it more accessible to you.