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In order to predict electromechanical equipments’ nonlinear and non-stationary c ondition effectively, max Lyapunov exponent is introduced to the fault trend pre diction of large rotating mechanical equipments based on chaos theory. The predi ct method of chaos time series and two methods of proposing f^ and F^ are discussed. The arithmetic of max prediction time of chaos time se ries is provided. Aiming at the key part of large rotating mechanical equipments -bearing, used this prediction method the simulation experiment is carried out. The result shows that this method has excellent performance for condition trend prediction.
In order to predict electromechanical equipments’ nonlinear and non-stationary c on effective, max Lyapunov exponent is introduced to the fault trend pre diction of large rotating mechanical devices based on chaos theory. The predi ct method of chaos time series and two methods of proposing f ^ and F ^ are discussed. The arithmetic of max prediction time of chaos time se ries is provided. Aiming at the key part of large rotating mechanical equipments-bearing, used this prediction method the the simulation experiment is carried out. this method has excellent performance for condition trend prediction.