ANFIS in Leakage Fault Diagnosis of Heating Networks
[1]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]
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Journal of Zhengzhou University (Engineering Science)[ISSN
1671-6833/CN
41-1339/T] Volume:
35
Number of periods:
2014 04
Page number:
56-60
Column:
Public date:
2014-08-30
- Title:
- ANFIS in Leakage Fault Diagnosis of Heating Networks
- Keywords:
- ANFIS; heating network; fault diagnosis; leakage deteetion
- CLC:
- TU995.3
- 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.
- References:
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