A fault diagnosis method based on graphic recognition for rotating machinery
DOU Wei ，LIU Zhansheng
1.Beijing aerospace propulsion institute, Beijing 100076, China 2. School of Energy Science and Engineering, Harbin Institute of Technology, Harbin, 150001, China
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.
2012, Vol. 31 
