Condition Monitoring Method of the Equipment Based on Extension Neural Network

摘要：

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.

关键词： Extension theory Extension neural network Condition monitoring Reduction gearbox

作者: Juncai Zhang Xu Qian Yu Zhou Ai Deng

作者单位: School of Mechanical Electronic and Information Engineering, China University of Mining and Technolo School of Mechanical Electronic and Information Engineering, China University of Mining and Technolo School of Software Engineering,Tongji University, Shanghai, 201804,China

会议类型: 国际会议

会议名称: The 22nd China Control and Decision Conference(2010年中国控制与决策会议)

会议地点: 徐州

会议语种:英文

页码: 1735-1740

在线出版日期: 2010-05-26（万方平台首次上网日期，不代表论文的发表时间）