Application of weighted gray target theory in health status assessment of electromechanical actuating system

Aiming at the evaluate problem of electrical actuating system health status, a method based on grey target theory is proposed for the health status assessment of electromechanical actuating system. The fault condition index model is built by using grey target theory, and a quantitative classification problem of the health status is solved by using wavelet packet-grey neural network in the condition of no standard model. At the same time, considering the weight problem of different frequency bands, using grey contribution degree to improve the grey target algorithm, a weighted algorithm based on grey target level is proposed. Simulation results show that grey target theory can evaluate the health status of electromechanical actuating system effectively.