A Self Generating Radial Basis Function Neuro-Fuzzy Fault diagnosis Model and its Application
DOI:
CSTR:
Author:
Affiliation:
Clc Number:
Fund Project:
Article
|
Figures
|
Metrics
|
Reference
|
Related
|
Cited by
|
Materials
|
Comments
Abstract:
In this paper, we propose a fault diagnosis model and its training algorithm based-on self generating radial basis function (SGRBF) fuzzy neuros. Two examples for the diagnosis of bearing and gear faults using this model are also given. Finally. some conclusion is drawn.
Reference
Related
Cited by
Get Citation
Qin Guojun, Hu Niaoqing, Wen Xisen. A Self Generating Radial Basis Function Neuro-Fuzzy Fault diagnosis Model and its Application[J]. Journal of National University of Defense Technology,1998,20(1):27-31.