A fault diagnosis method based on graphic recognition for rotating machinery

DOU Wei;LIU Zhansheng

Journal of Vibration and Shock ›› 2012, Vol. 31 ›› Issue (17) : 171-175.

PDF(1594 KB)
PDF(1594 KB)
Journal of Vibration and Shock ›› 2012, Vol. 31 ›› Issue (17) : 171-175.
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A fault diagnosis method based on graphic recognition for rotating machinery

  • DOU Wei ,LIU Zhansheng
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Abstract

Taking the three-dimensional vibration image of rotating machinery as the studying objective, this paper investigates the fault diagnosis method based on graphic recognition technology. This method uses the statistical method, the structural method based on texture and the gradient method which characterize the graphic textural direction is studied for describing graphic textural characteristic. The rough degree, direction and spatial complex degree and direction of texture are reflected precisely. The graphic grayscale spatial distribution characteristic, spatial statistical dependence and pixel point gradient distributed rule are described accurately. Textural feature information in rotating mechanical state parameter graph is extracted effectively. It can directly conduct rotating machinery fault diagnosis by using artificial neural networks after extracting the information of image texture characteristic. This method is validated to get high diagnosis accuracy by experimenting on the modeling of 600MW turbine experimental bench.

Key words

rotating machinery / fault diagnosis / co-occurrence matrix / graphic recognition

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DOU Wei;LIU Zhansheng. A fault diagnosis method based on graphic recognition for rotating machinery [J]. Journal of Vibration and Shock, 2012, 31(17): 171-175
PDF(1594 KB)

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