Papers by Author: Wang Shen Hao

Abstract: Support vector data description (SVDD) can be used to solve the problems of the insufficient fault samples in the fault diagnosis field. Vector-bispectrum is the bispectrum analysis method based on the full vector spectrum information fusion. It can be used to fuse the double-channel information of the rotary machines effectively and reflect the nonlinear properties in the signals more completely and accurately. In order to realize the aim that the faults of the machines can be diagnosed effectually and intelligently under the situation of the lack of the fault samples, the intelligent diagnosis method of the faults by combining the vector-bispectrum with SVDD is put forward. By using the vector-bispectrum to process the signals and extract the characteristic vectors, which can be used as the input parameters of SVDD. The classification model is set up and therefore the running states of the machines can also be classified. The method is applied to the gearbox fault diagnosis. The results indicate that the method can be effectively used to extract the characteristic information of the gearbox signals and increase the accuracy of SVDD in the fault diagnosis.

Abstract: One of the most important challenging problems in modern mechanical manufacture industry is how to reload the repaired tool properly to the numerical machine. An innovation method is put forward considering the above mentioned problem. It takes account of raster sensors due to the characteristics of high accuracy, wide scope of dynamic measurement, non-contact measurement and flexible to automation and numeralization. A measurement system is constructed based on the principle of raster sensors. One operating example of raster provides quite precise results, which would be one of the solutions to the key problem of reloading machine tool.