A Character of Rotating Machinery Defined Based on KICA

Abstract:

This research aims at defining a character of rotating machinery——KIC, that the typical rolling bearing and gear failure modes can be effectively identified by using the character. Firstly, A correlation coefficient matrix is composed by the correlation coefficient between two-two inde-pendent component derived from kernel independent component (KICA). Then the KIC is defined by the correlation coefficient matrix. Experimental results show that the KIC has a good effect for identifying the bearing and gear fault modes, so it can be used as sensitive character for rotating machinery fault diagnosis.

• Periodical: Advanced Engineering Forum (Volumes 2-3)
• Pages: 761-764
• DOI: https://doi.org/10.4028/www.scientific.net/AEF.2-3.761
• Online since: December 2011
• Authors: Ling Li Jiang, Zong Qun Deng, Si Wen Tang
• Keywords: Fault Diagnosis, KICA, Rotating Machinery

References

[1] A. K. S. Jardine, D. Lin and D. Banjevic: Mechanical Systems and Signal Processing 20(2006), pp.1483-1450.

[2] F.R. Bach, M.I. Jordan: The Journal of Machine Learning Research, 2003, (3): 1-48.

[3] L Wang, H.B. Shi: Chemical engineering research and design, 88(2010): 403-414.

[4] S.C. Kuo, C.J. Lin, J.R. Liao: Expert systems with applications, 38(2011): 5406-5415.

[5] Y.W. Zhang: Chemical Engineering Science, 2009 , 64( 5): 801-811.

[6] X.M. Tian, X.L. Zhang, X.G. Deng: Neurocomputing, 2009, 72(7-9): 1584-1596.

[7] J. Yang, X. M. Gao, D. Zhang: Pattern Recognition, 2005, 38(10): 1784-1787.

[8] P.L. Cui, J. h. Li, G. z. Wang: Expert Systems with Applications, 34( 2): 1210-1219.

[9] G. Peter, M. B. Anke, F. Simon, J.T. Fabian: Engineering Applications of Artificial Intelligence, 2009, 22 ( 4-5): 497-504.