Intelligent Condition Prediction of Mechanical Equipment Based on the Gray-theory

Based on the gray theory, a novel prediction method of intelligent condition to detect the performance of mechanical equipment, was proposed in this paper, which combined the gray predictive model GM(1,1) and neural networks intimately and organically. With a view to investigate the inherent law of mechanical equipment and according to the own historical data of mechanical equipment, a dynamic different equation is established to predict its own trend. The characters of the gray predictive model GM(1,1) are simple calculation and accurate prediction with smaller amount of data. This method has been applied to a condition monitoring and fault diagnosis system. The industry application shows this method is useful and effective.