IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v14y2021i22p7702-d681350.html
   My bibliography  Save this article

Intelligent Algorithm for Variable Scale Adaptive Feature Separation of Mechanical Composite Fault Signals

Author

Listed:
  • Shu Han

    (School of Microelectronics and Communications Engineering, Chongqing University, Chongqing 400030, China
    Current address: School of Microelectronics and Communications Engineering, Chongqing University, Chongqing, China.
    These authors contributed equally to this work.)

  • Xiaoming Liu

    (School of Microelectronics and Communications Engineering, Chongqing University, Chongqing 400030, China
    These authors contributed equally to this work.)

  • Yan Yang

    (School of Microelectronics and Communications Engineering, Chongqing University, Chongqing 400030, China
    These authors contributed equally to this work.)

  • Hailin Cao

    (School of Microelectronics and Communications Engineering, Chongqing University, Chongqing 400030, China
    These authors contributed equally to this work.)

  • Yuanhong Zhong

    (School of Microelectronics and Communications Engineering, Chongqing University, Chongqing 400030, China
    These authors contributed equally to this work.)

  • Chuanlian Luo

    (School of Microelectronics and Communications Engineering, Chongqing University, Chongqing 400030, China
    These authors contributed equally to this work.)

Abstract

With the development of modern industry and scientific technology, production equipment plays an increasingly important role in military and industrial production, and the fault detection signal of gears and bearings state in transmission equipment becomes very important. Therefore, this paper proposes a gear-bearing composite fault signal decomposition and reconstruction method, which combines the marine predator algorithm (MPA) and variational mode decomposition (VMD) technologies. For the parameters’ selection of VMD, the optimization algorithm allows us to quickly and accurately obtain the results with the best kurtosis correlation index after signal decomposition and reconstruction. The experiments demonstrate the excellent performance of our method in the field of separation and denoising mixed gear-bearing fault signals.

Suggested Citation

  • Shu Han & Xiaoming Liu & Yan Yang & Hailin Cao & Yuanhong Zhong & Chuanlian Luo, 2021. "Intelligent Algorithm for Variable Scale Adaptive Feature Separation of Mechanical Composite Fault Signals," Energies, MDPI, vol. 14(22), pages 1-13, November.
  • Handle: RePEc:gam:jeners:v:14:y:2021:i:22:p:7702-:d:681350
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/14/22/7702/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/14/22/7702/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. G. M. Viswanathan & Sergey V. Buldyrev & Shlomo Havlin & M. G. E. da Luz & E. P. Raposo & H. Eugene Stanley, 1999. "Optimizing the success of random searches," Nature, Nature, vol. 401(6756), pages 911-914, October.
    2. Farid Aubras & Cedric Damour & Michel Benne & Sebastien Boulevard & Miloud Bessafi & Brigitte Grondin-Perez & Amangoua J.-J. Kadjo & Jonathan Deseure, 2021. "A Non-Intrusive Signal-Based Fault Diagnosis Method for Proton Exchange Membrane Water Electrolyzer Using Empirical Mode Decomposition," Energies, MDPI, vol. 14(15), pages 1-11, July.
    3. Abdenour Soualhi & Bilal El Yousfi & Hubert Razik & Tianzhen Wang, 2021. "A Novel Feature Extraction Method for the Condition Monitoring of Bearings," Energies, MDPI, vol. 14(8), pages 1-23, April.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Xiaohua Song & Jing Liu & Chaobo Chen & Song Gao, 2022. "Advanced Methods in Rotating Machines," Energies, MDPI, vol. 15(15), pages 1-3, July.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Ferreira, A.S. & Raposo, E.P. & Viswanathan, G.M. & da Luz, M.G.E., 2012. "The influence of the environment on Lévy random search efficiency: Fractality and memory effects," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(11), pages 3234-3246.
    2. Priscila C A da Silva & Tiago V Rosembach & Anésia A Santos & Márcio S Rocha & Marcelo L Martins, 2014. "Normal and Tumoral Melanocytes Exhibit q-Gaussian Random Search Patterns," PLOS ONE, Public Library of Science, vol. 9(9), pages 1-13, September.
    3. Ma, Brian O. & Davis, Brad H. & Gillespie, David R. & VanLaerhoven, Sherah L., 2009. "Incorporating behaviour into simple models of dispersal using the biological control agent Dicyphus hesperus," Ecological Modelling, Elsevier, vol. 220(23), pages 3271-3279.
    4. Marina E Wosniack & Marcos C Santos & Ernesto P Raposo & Gandhi M Viswanathan & Marcos G E da Luz, 2017. "The evolutionary origins of Lévy walk foraging," PLOS Computational Biology, Public Library of Science, vol. 13(10), pages 1-31, October.
    5. Yang Qi & Pulin Gong, 2022. "Fractional neural sampling as a theory of spatiotemporal probabilistic computations in neural circuits," Nature Communications, Nature, vol. 13(1), pages 1-19, December.
    6. Cody T Ross & Bruce Winterhalder, 2018. "Evidence for encounter-conditional, area-restricted search in a preliminary study of Colombian blowgun hunters," PLOS ONE, Public Library of Science, vol. 13(12), pages 1-13, December.
    7. Pascual López-López & José Benavent-Corai & Clara García-Ripollés & Vicente Urios, 2013. "Scavengers on the Move: Behavioural Changes in Foraging Search Patterns during the Annual Cycle," PLOS ONE, Public Library of Science, vol. 8(1), pages 1-9, January.
    8. José Ignacio Santos & María Pereda & Débora Zurro & Myrian Álvarez & Jorge Caro & José Manuel Galán & Ivan Briz i Godino, 2015. "Effect of Resource Spatial Correlation and Hunter-Fisher-Gatherer Mobility on Social Cooperation in Tierra del Fuego," PLOS ONE, Public Library of Science, vol. 10(4), pages 1-29, April.
    9. Pauline Formaglio & Marina E. Wosniack & Raphael M. Tromer & Jaderson G. Polli & Yuri B. Matos & Hang Zhong & Ernesto P. Raposo & Marcos G. E. Luz & Rogerio Amino, 2023. "Plasmodium sporozoite search strategy to locate hotspots of blood vessel invasion," Nature Communications, Nature, vol. 14(1), pages 1-11, December.
    10. Toru Nakamura & Toru Takumi & Atsuko Takano & Fumiyuki Hatanaka & Yoshiharu Yamamoto, 2013. "Characterization and Modeling of Intermittent Locomotor Dynamics in Clock Gene-Deficient Mice," PLOS ONE, Public Library of Science, vol. 8(3), pages 1-8, March.
    11. Sophie Lardy & Daniel Fortin & Olivier Pays, 2016. "Increased Exploration Capacity Promotes Group Fission in Gregarious Foraging Herbivores," PLOS ONE, Public Library of Science, vol. 11(12), pages 1-14, December.
    12. LaScala-Gruenewald, Diana E. & Mehta, Rohan S. & Liu, Yu & Denny, Mark W., 2019. "Sensory perception plays a larger role in foraging efficiency than heavy-tailed movement strategies," Ecological Modelling, Elsevier, vol. 404(C), pages 69-82.
    13. Toman, Kellan & Voulgarakis, Nikolaos K., 2022. "Stochastic pursuit-evasion curves for foraging dynamics," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 597(C).
    14. Cédric Sueur & Léa Briard & Odile Petit, 2011. "Individual Analyses of Lévy Walk in Semi-Free Ranging Tonkean Macaques (Macaca tonkeana)," PLOS ONE, Public Library of Science, vol. 6(10), pages 1-8, October.
    15. Qi, Jie & Rong, Zhihai, 2013. "The emergence of scaling laws search dynamics in a particle swarm optimization," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(6), pages 1522-1531.
    16. Zhang, Jingjing & Dennis, Todd E. & Landers, Todd J. & Bell, Elizabeth & Perry, George L.W., 2017. "Linking individual-based and statistical inferential models in movement ecology: A case study with black petrels (Procellaria parkinsoni)," Ecological Modelling, Elsevier, vol. 360(C), pages 425-436.
    17. Peter J M Van Haastert & Leonard Bosgraaf, 2009. "Food Searching Strategy of Amoeboid Cells by Starvation Induced Run Length Extension," PLOS ONE, Public Library of Science, vol. 4(8), pages 1-7, August.
    18. Stefano Focardi & Paolo Montanaro & Elena Pecchioli, 2009. "Adaptive Lévy Walks in Foraging Fallow Deer," PLOS ONE, Public Library of Science, vol. 4(8), pages 1-6, August.
    19. Maria C. Mariani & William Kubin & Peter K. Asante & Osei K. Tweneboah & Maria P. Beccar-Varela & Sebastian Jaroszewicz & Hector Gonzalez-Huizar, 2020. "Self-Similar Models: Relationship between the Diffusion Entropy Analysis, Detrended Fluctuation Analysis and Lévy Models," Mathematics, MDPI, vol. 8(7), pages 1-20, June.
    20. Xinyue Liu & Yan Yan & Kaibo Hu & Shan Zhang & Hongjie Li & Zhen Zhang & Tingna Shi, 2022. "Fault Diagnosis of Rotor Broken Bar in Induction Motor Based on Successive Variational Mode Decomposition," Energies, MDPI, vol. 15(3), pages 1-16, February.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:14:y:2021:i:22:p:7702-:d:681350. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.