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FRACTAL FAULT
DIAGNOSIS AND CLASSIFICATION
TO MODAL
CHARAC- TERISTIC OF ROTOR SYSTEM
Xu
Yuxiu
(School of Mechanical and Electronic
Engineering, Tianjin Polytechnic University, Tianjin 300160)
Zhong
Jianjun
(Institute of Military Traffic, PLA,
Tianjin 300161)
Wen
Bangchun
(Institute of Mechatronical
Engineering and Automation, Northeast University, Shenyang 110006)
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Abstract: The multi-fractals theory is applied for proposing the
calculation formula of general dimension least square method. The
general dimension of measured time domain signal is calculated, the
sequence value of general dimension is obtained, and the box dimension,
the information dimension, the correlation dimension and the sensitive
dimension are got from general dimension. The general dimension of the
fault sample is calculated. And the relationship between fault and
fractal is found out. These provide the basis of analyzing the fault
strength by fractal dimension. In addition, combined general dimension
sequence value and mathematics method, the fractal diagnosis
classification is proposed. It achieves good results to diagnose,
identify and classify the measuring and modal coupling fault signal by
the utilizing theorem of the general dimension maximum correlation
coefficient and the general dimension sequence signal value. Through the
example of the rotor system fault diagnosis, it explains that the
fractal dimensions abstracted from the general dimension can better
diagnose, identify the fault and its degree. The method of fractal
diagnosis and classification has better actual effective property.
Key words: Multi-fractal theory Fault sensitive dimension
Modal fractal characteristic Coupling fault diagnosis Fractal
diagnosis and classify
CLC No: TH113.1
TH165.3
国家自然科学基金资助项目(50275024).
Received 20050224, received in revised form 20050808
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