Selection of the optimum decomposition level using the discrete wavelet transform for automobile suspension system

Author:

Rahim Airee Afiq Abd,Abdullah Shahrum,Singh Salvinder Singh Karam,Nuawi Mohammad Zaki

Publisher

Springer Science and Business Media LLC

Subject

Mechanical Engineering,Mechanics of Materials

Reference17 articles.

1. Avinash and C. Suresh, Static and fatigue failure analysis of trailing arm bracket of rear suspension system, International Journal of Innovative Research in Science, Engineering and Technology, 5 (7) (2016) 13145–13152.

2. L. Lei, W. Chao and L. Xin, Discrete wavelet transform decomposition level determination exploiting sparseness measurement, International Scholarly and Scientific Research & Innovation, 7 (9) (2013) 1182–1185.

3. Z. M. Nopiah, M. H. Osmanb, N. Baharin and S. Abdullah, Statistical optimisation techniques in fatigue signal editing problem, The 2nd ISM International Statistical Conference, Kuantan, Pahang, Malaysia (2014) 776–786.

4. M. Yang, Y. Sang, C. Liu and Z. Wang, Discussion on the choice of decomposition level for wavelet based hydrological time series modeling, Water, 8 (2016) 197–208.

5. J. Rosero, J. L. Romeral, J. Cusido, J. A. Ortega and A. Garcia, Fault detection of eccentricity and bearing damage in a PMSM by means of wavelet transforms decomposition of the stator current, 2008 Twenty-Third Annual IEEE Applied Power Electronics Conference and Exposition, Austin, Texas, USA (2008) 111–116.

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