Condition Monitoring Method of the Equipment Based on Extension Neural Network

被引：0
|
作者：
Zhang, Juncai [1 ]
Qian, Xu [1 ]
Zhou, Yu [1 ,2 ]
Deng, Ai [3 ]
机构：
[1] China Univ Min & Technol Beijing, Sch Mech Elect & Informat Engn, Beijing 100083, Peoples R China
[2] Univ Alberta, Dept Elect & Comp Engn, Edmonton T6G 2V4, AB, Canada
[3] Tongji Univ, Sch Software Engn, Shanghai 201804, Peoples R China
来源：
2010 CHINESE CONTROL AND DECISION CONFERENCE, VOLS 1-5 | 2010年
关键词：
Extension theory; Extension neural network; Condition monitoring; Reduction gearbox;
D O I：
10.1109/CCDC.2010.5498475
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
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.
引用
收藏
页码：1735 / +
页数：2
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