Introduction - If you have any usage issues, please Google them yourself
Gearbox vibration signal of non-stationary and non-linear, the combination of a multifractal support vector machine fault diagnosis method. The use of multiple fractal theory methods to analyze gear vibration signals, through the analysis found multifractal spectrum and broad-dimensional number as the fault feature able to well reflect gearbox work state support vector machine parameters utilize particle swarm optimization algorithm to optimize and the multifractal characteristic quantities of the gearbox vibration signal as the input parameters of support vector machine to identify the type of gear failure. Experimental results show that the method in the case of a smaller sample can be accurately classify the type of failure of the gear box