Fault identification in rotating machinery using the correlation dimension and bispectra

被引：61

作者：

Wang W.J. ^{[1
]}

Wu Z.T. ^{[2
]}

Chen J. ^{[1
]}

机构：

[1] State Key Lab. of Vibration, Shock and Noise, Shanghai Jiao Tong University

[2] Department of Mechanical and Energy Engineering, Zhejiang University

来源：

Nonlinear Dynamics | 2001年 / 25卷 / 04期

基金：

中国博士后科学基金;

关键词：

Bispectra; Condition monitoring; Correlation dimension; Fault diagnosis; Rotating machinery;

D O I：

10.1023/A:1012985802317

中图分类号：

学科分类号：

摘要：

This paper reports on the application of nonlinear dynamics and higher-order spectra, with particular regard to the correlation dimension and bispectra in rotating machinery fault identification. The performance of the two methods is evaluated from the view of the practitioners' point. The correlation dimension of nonlinear dynamical system is of value to engineers because it provides an estimation of the number of degrees of freedom that an engineering system possesses. It can provide some intrinsic information of an underlying dynamic system, and can be used to classify different faults intelligently. Therefore, correlation dimension is helpful for an automatic fault detection procedure. Bispectral analysis offers a method for determining the nonlinear coupling and energy exchange between Fourier modes, and explains the origins of spectra peaks at certain values in the frequency spectrum. Such frequency domain information is necessary in order to classify different faults in rotating machinery. Therefore, a combination of correlation dimension and bispectra offer a good description of a nonlinear system. These methods can be complementary to each other in machinery condition monitoring and fault diagnosis field.

引用

页码：383 / 393

页数：10

共 30 条

[1]

Chen C.L., Yao H.T., Chaos in the imbalance response of a flexible rotor supported by oil film bearings with nonlinear suspension, Nonlinear Dynamics, 16, pp. 71-90, (1998)

[2]

Goldman P., Muszynska A., Dynamic effects in mechanical structures with gaps and impacting: Order and chaos, Journal of Vibration and Acoustics, 116, pp. 541-547, (1994)

[3]

Muszynska A., Goldman P., Chaotic responses of unbalanced rotor/bearing/stator systems with looseness or rubs, Chaos, Solitons & Fractals, 5, 9, pp. 1683-1704, (1995)

[4]

Chu F.L., Zhang Z.S., Periodic, quasi-periodic and chaotic vibrations of a rub-impact system supported on oil film bearings, International Journal of Engineering Science, 35, 11, pp. 963-973, (1997)

[5]

Muller P.C., Bajkowski J., Soffker D., Chaotic motions and fault detection in a cracked rotor, Nonlinear Dynamics, 5, pp. 233-254, (1994)

[6]

Comparin R.J., Singh R., An analytical study of automotive neutral gear rattle, Journal of Mechanical Design, 112, pp. 237-245, (1990)

[7]

Logan D., Mathew J., Using the correlation dimension for vibration fault diagnosis of rolling element bearing - 2. Selection of experimental parameters, Mechanical Symtems and Signal Processing, 10, 3, pp. 251-264, (1996)

[8]

Jiang J.D., Chen J., Qu L.S., The application of correlation dimension in gearbox condition monitoring, Journal of Sound and Vibration, 223, 4, pp. 529-542, (1999)

[9]

Wang W.J., Chen J., Jiang J.D., Wu Z.T., The application of correlation dimension in large rotating machinery fault diagnosis, ImechE, Journal of Mechanical Engineering Science, Part C, 214, pp. 921-929, (2000)

[10]

Sato T., Sasaki K., Nakamura Y., Real-time bispectral analysis of gear noise and its application to contactless diagnosis, Journal of the Acoustical Society of America, 62, 2, pp. 382-387, (1977)

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