Condition Monitoring Method of the Equipment Based on Extension Neural Network

In this paper, a novel condition monitoring method of equipment based on extension neural network (ENN) is proposed. Firstly, this paper introduces the central ideas of extension theory. Then it presents the extension theory neural, including its structure and learning algorithm. In the end of the paper, the reduction gearbox of a certain equipment is researched and the extension neural network is employed to design a condition monitoring method that can detect the current condition of reduction gearbox. The experiment results indicate that the proposed method can determine the condition of machine rapidly and accurately with less time and computation.