The Research on Nonlinear Diagnosis Methods of Vibrating Screen Crack


Article Preview

Based on chaotic characteristics in vertical direction of vibrating screen sides, nonlinear methods were proposed to diagnose crack of vibrating screen. First phase space maps were got in different conditions of vibrating screen, and the correlation dimension of signals were calculated. Through the comparison, the author proved that the equipment had different nonlinear characteristics in different work condition. Meanwhile, a three-dimensional spectral analysis method was proposed and validated based on neural network identification model.



Advanced Materials Research (Volumes 219-220)

Edited by:

Helen Zhang, Gang Shen and David Jin




X. Y. Xiong et al., "The Research on Nonlinear Diagnosis Methods of Vibrating Screen Crack", Advanced Materials Research, Vols. 219-220, pp. 1258-1262, 2011

Online since:

March 2011




[1] S. Suresh, Zhongguang Wang. Material Fatigue. National Defence Industrial Press. 1999: PP.1, PP.8.

[2] Reiss Joshua D. The analysis of chaotic time series. Georigia Institute of Technology. Thesis of Doctor of Philosophy in Physica, (2001).

[3] Masri S.E, Caughey T.K. A non-parametric identification technique for non-linear dynamic problems, 1979, ASME J. Appl. Mech.46, PP.433-447.

[4] Worden K. Data processing and experiment design for the restoring force surface method, part l: Integration and differentiation of measured time data. Mech Sys and Sign Proc. 1990.4 (4): 295-319.


[5] Wei Dong, Zhang Minglian. Nonlinear model based on neural network identification, Beijing Institute of Architectural Engineering, 2004, 20 (4).

[6] Norgaard, M. (2000). Neural network based system identification toolbox. Technical Report. 00-E-891, Department of Automation, Technical University of Denmark.

Fetching data from Crossref.
This may take some time to load.