[1]段鹏飞,段兰兰,田琦.ANFIS在供热管泄漏故障诊断中的应用[J].郑州大学学报(工学版),2014,35(04):56-60.[doi:10.3969/j issn.1671-6833.2014.04.014]
　DUAN Pengfei,DUAN Lanlan,TIAN Qi.ANFIS in Leakage Fault Diagnosis of Heating Networks[J].Journal of Zhengzhou University (Engineering Science),2014,35(04):56-60.[doi:10.3969/j issn.1671-6833.2014.04.014]
点击复制

ANFIS在供热管泄漏故障诊断中的应用()
分享到：

《郑州大学学报(工学版)》[ISSN:1671-6833/CN:41-1339/T]

卷:
35
期数:
2014年04期
页码:
56-60
栏目:
出版日期:
2014-08-30

文章信息/Info

Title:
ANFIS in Leakage Fault Diagnosis of Heating Networks
作者:
段鹏飞; 段兰兰; 田琦
Author(s):
DUAN Pengfei; DUAN Lanlan; TIAN Qi
College of Environmental Seience and Engineering, Taiyuan University of Technology, Taiyuan 030024, China
Keywords:
ANFIS;  heating network;  fault diagnosis;  leakage deteetion
分类号:
TU995.3
DOI:
10.3969/j issn.1671-6833.2014.04.014
文献标志码:
A
Abstract:
In view of the uneertainty characteristies of heating nelworks leakage fault, such as randomnessfuzziness and variability, traditional fault-diagnosis method can not adapt well to the demands of heating net.works seeurily moniloring. Adaplive neural-fuzzy inerenee system ( ANFlS) eombines the adaplive and learn.ing capabililies of neural nelwork and the transparent knowledge representalion of fuzzy system. This paperpresents a two stage leakage fault diagnosis model of heating nelworks based on adaplive neural-fuzzy infereneesystem, which can diagnose the leakage pipe and rate and loeate the leakage point, aecording to the changesin the pressure of all nodes of the heating network. A comparalive example has been given wih the BP neuralnetwork. lt is shown that the ANFlS model provides high diagnosis accuracy and stability results.
更新日期/Last Update: