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Detection of Gearbox lubrication Using PSO-Based WKNN Cover

Detection of Gearbox lubrication Using PSO-Based WKNN

Measurement Science Review
Volume 13 (2013): Issue 3 (June 2013)
By: ,  ,  ,   and    
Open Access
|Jun 2013
References

References

  1. [1] Randall, R.B. (2011).. Wiley.
    Search in Google Scholar
  2. [2] He, P., Li, Q., Kong, F. (2010). A new method of feature extraction for gearbox vibration signals. In() :, 16-18 October 2010. IEEE, Vol. 8, 3980-3984
    Search in Google Scholar
  3. [3] Yang, Z., Hoi, W.I., Zhong, J. (2011). Gearbox fault diagnosis based on artificial neural network and genetic algorithms. In(), 8-10 June 2011. IEEE, 37-42.
    Open DOISearch in Google Scholar
  4. [4] Yang, S., Li, W., Wang, C. (2008). The intelligent fault diagnosis of wind turbine gearbox based on artificial neural network. In, 21-24 April 2008. IEEE, 1327-1330.
    Open DOISearch in Google Scholar
  5. [5] Mohanty, R., Kar, C., (2006). Fault detection in a multistage gearbox by demodulation of motor current waveform., 53 (4), 1285-1297.
    Open DOISearch in Google Scholar
  6. [6] Rajagopalan, S., Habetler, T.G., Harley, R.G., Sebastian, T., Lequesne, B. (2007). Current/voltagebased detection of faults in gears coupled to electric motors., 42 (6), 1414-1420.
    Search in Google Scholar
  7. [7] Huang, X., Habetler, T.G., Harley, R.G. (2007). Detection of rotor eccentricity faults in closed-loop drive-connected induction motors using an artificial neural network., 22 (4), 1552-1559.
    Open DOISearch in Google Scholar
  8. [8] Wan, S.T., Li, H.M., Li, Y.G, Meng, F.C. (2005). Analysis of stator winding parallel-connected branches circulating current and its application in generator fault diagnosis. In, 2-6 October 2005. IEEE, Vol. 1, 42-45.
    Search in Google Scholar
  9. [9] Blodt, M., Chabert, M., Regnier, J., Faucher, J. (2006) Mechanical load fault detection in induction motors by stator current time-frequency analysis., 42 (6), 1454-1463.
    Open DOISearch in Google Scholar
  10. [10] Thomas, V.V., Vasudevan, K., Kumar, V.J. (2003). Online cage rotor fault detection using air-gap torque spectra., 18 (2), 265-270.
    Open DOISearch in Google Scholar
  11. [11] Gaouda, A.M., Salama, M.M.A., Sultan, M.R., Chikhani, A.Y. (1999). Power quality diction and classification using wavelet-multiresolution signal decomposition., 14 (4), 1469-1476.
    Open DOISearch in Google Scholar
  12. [12] Jena, D.P., Kumar, R. (2011). Implementation of wavelet denoising and image morphology on welding image for estimating HAZ and welding defect., 11 (4), 108-111
    Open DOISearch in Google Scholar
  13. [13] Wei, L., Wang, H., Li, F. (2009). Fault diagnosis of turbine generator vibration based on wavelet packet and data-driven. In, 8-9 August 2009. IEEE, Vol. 2, 29-32.
    Search in Google Scholar
  14. [14] Fan, X., Zuo, M.J. (2006). Gearbox fault detection using Hilbert and wavelet packet transform., 20 (4), 966-982.
    Open DOISearch in Google Scholar
  15. [15] Stockwell, R.G., Mansinha, L., Lowe, R.P. (1996). Localization of the complex spectrum: The Stransform., 44 (4), 998-1001.
    Open DOISearch in Google Scholar
  16. [16] Yuping, Z. (2006). Hilbert-Huang transform and marginal spectrum for detection of bearing localized defects. In. IEEE, Vol. 2, 5457-5461.
    Search in Google Scholar
  17. [17] Cheng, J.S., Yu, D.J., Yang, Y. (2007). Application of support vector regression machines to the processing of end effects of Hilbert-Huang transform., 21 (3), 1197-1211.
    Open DOISearch in Google Scholar
  18. [18] Chaovalitwongse, W.A., Fan, Y., Sachdeo, R.C. (2007). On the time series K-nearest neighbor classification of abnormal brain activity., 37 (6), 1005-1016.
    Open DOISearch in Google Scholar
  19. [19] Manoharan, S.C., Veezhinathan, M., Ramakrishnan, S. (2008). Comparison of two ANN methods for classification of spirometer Data., 8 (3), 53-57
    Open DOISearch in Google Scholar
  20. [20] Rumelhart, D.E., Hinton, G.E., Willia, R.J. (1986). Learning representations by back-propagation errors.323, 533-536.
    Open DOISearch in Google Scholar
  21. [21] Song, T., Jamshidi, M.M., Lee, R.R., Huang, M. (2007). A modified probabilistic neural network for partial volume segmentation in brain MR image., 18 (5), 1424-1432.
    Open DOISearch in Google Scholar
  22. [22] Chen, B., Liu, H., Chia, J., Bao, Z. (2009). Large margin feature weighting method via linear programming., 21 (10), 1475-1488.
    Open DOISearch in Google Scholar
  23. [23] Middlemiss, M.J., Dick, G. (2003). Weighted feature extraction using genetic algorithms for intrusion detection. In, 8-12 December 2003. IEEE, Vol. 3, 1669-1675.
    Search in Google Scholar
  24. [24] Kennedy, J., Eberhart, R. (1995). Particle swarm optimization. InNetworks. IEEE, Vol. 4, 1942-1948.
    Search in Google Scholar
  25. [25] Biswal, B., Dash, P.K., Panigrahi, B.K. (2009). Power quality disturbance classification using fuzzy C-means algorithm and adaptive particle swarm optimization., 56 (1), 212-220.
    Open DOISearch in Google Scholar
  26. [26] Parsopoulos, K.E., Vrahatis, M.N. (2002). Particle swarm optimization method for constrained optimization problems. In. IOS Press, Vol. 76, 214-220.
    Search in Google Scholar
  27. [27] Valle, Y.D., Venayagamoorthy, G.K., Mohagheghi, S., Hernandez, J., Harley, R.G. (2008). Particle warm optimization: Basic concepts, variants and applications in power systems., 12 (2), 171-195.
    Search in Google Scholar
DOI: https://doi.org/10.2478/msr-2013-0019 | Journal eISSN: 1335-8871
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Language: English
Page range: 108 - 114
Published on: Jun 21, 2013
Published by: Slovak Academy of Sciences, Institute of Measurement Science
In partnership with: Paradigm Publishing Services
Publication frequency: Volume open
Keywords:
Particle swarm optimization,
weighted k-nearest neighbors,
fast Fourier transform,
current signals
Related subjects:
Engineering,
Electrical engineering,
Control engineering, metrology and testing

© 2013 Chun-Yao Lee, Cheng-Chien Kuo, Ryan Liu, I-Hsiang Tseng, Lu-Chen Chang, published by Slovak Academy of Sciences, Institute of Measurement Science
This work is licensed under the Creative Commons License.

Volume 13 (2013): Issue 3 (June 2013)
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