Study on the Application of Ant Colony Clustering in Fault Early Warning of Equipment Management

被引：0

作者：

Xu, Guixian ^{[1
]}

Du, Huaichang ^{[1
]}

Wang, Hongsheng ^{[1
]}

Meng, Jing ^{[1
]}

机构：

[1] Univ China, Informat Engn Sch Commun, Beijing, Peoples R China

来源：

SOFTWARE ENGINEERING AND KNOWLEDGE ENGINEERING: THEORY AND PRACTICE, VOL 1 | 2012年 / 114卷

关键词：

Equipment Management; Fault Early Warning; Data mining; Clustering analysis; Ant colony algorithm;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In recent years, with the rapid development of scientific technology, the process of industry production which utilizes a great number of equipments becomes more and more complex. How to keep watching on the state of the working and the trouble of the equipments so as to ensure the production regularly work becomes the urgent thing that the production unit concerns about. This paper firstly analyzed the early warning of equipment failure and ant colony algorithm, completed the algorithm of ant colony cluster failure warning design and implementation of the model. On this foundation, this paper verified the data from transmitter by ant colony algorithm. Experiments have shown that the early warning model is highly simple and efficient; it was provided a reference for enterprise equipment to establish reasonable maintenance strategy.

引用

页码：1039 / 1045

页数：7