A web-based intelligent fault diagnosis system for customer service support

2001 ◽  
Vol 14 (4) ◽  
pp. 537-548 ◽  
Author(s):  
S.C. Hui ◽  
A.C.M. Fong ◽  
G. Jha
Keyword(s):  
Fault Diagnosis ◽  
Customer Service ◽  
Intelligent Fault Diagnosis ◽  
Web Based ◽  
Diagnosis System ◽  
Service Support ◽  
Fault Diagnosis System

Design and Analysis of Fault Diagnosis System of Electrohydraulic Servo Valve Based on ANN

2013 ◽  
Vol 785-786 ◽  
pp. 1380-1383
Author(s):  
Yao Li ◽  
Jian Gang Yi
Keyword(s):  
Neural Networks ◽  
Artificial Neural Networks ◽  
Fault Diagnosis ◽  
Servo System ◽  
Intelligent Fault Diagnosis ◽  
Diagnosis System ◽  
Servo Valve ◽  
Pressure Characteristic ◽  
Fault Diagnosis System ◽  
Electrohydraulic Servo System

It is a difficulty to combine artificial neural networks (ANN) with the fault diagnosis of electrohydraulic servo valve. To slolve this problem, the fault diagnosis mechanism of electrohydraulic servo system is analysed, the effecitveness of fault diagnosis based on ANN is verified, and the pressure characteristic data are used to construct ANN samples. Finally, the algorithms of RBF, BP and Elman are compared with the built system and sampled. The results show the RBF algorithm is more rapid and accurate and the proposed intelligent fault diagnosis system of electrohydraulic servo valve is valuable.

Agent oriented intelligent fault diagnosis system using evidence theory

2012 ◽  
Vol 39 (3) ◽  
pp. 2524-2531 ◽  
Author(s):  
He Luo ◽  
Shan-lin Yang ◽  
Xiao-jian Hu ◽  
Xiao-xuan Hu
Keyword(s):  
Fault Diagnosis ◽  
Evidence Theory ◽  
Intelligent Fault Diagnosis ◽  
Diagnosis System ◽  
Fault Diagnosis System
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