scholarly journals Review of research on intelligent diagnosis of oil transfer pump malfunction

Petroleum ◽  
2022 ◽  
Author(s):  
Liangliang Dong ◽  
Qian Xiao ◽  
Yanjie Jia ◽  
Tianhai Fang
Keyword(s):  
Intelligent Diagnosis

Research on Intelligent Diagnosis Technology of Transformer Fault

2013 ◽  
Vol 385-386 ◽  
pp. 589-592
Author(s):  
Hong Qi Wu ◽  
Xiao Bin Li
Keyword(s):  
Neural Network ◽  
Fault Diagnosis ◽  
Radial Basis Function ◽  
Basis Function ◽  
Rbf Neural Network ◽  
Intelligent Diagnosis ◽  
Rbf Network ◽  
Working Principle ◽  
Research On Application ◽  
Transformer Fault

In order to improve the diagnosis rates of transformer fault, a research on application of RBF neural network is carried out. The structure and working principle of radial basis function (RBF) neural network are analyzed and a three layer RBF network is also designed for transformer fault diagnosis. It is proved by MATLAB experiment that RBF neural network is a strong classifier which is used to diagnose transformer fault effectively.

Kernel flexible and displaceable convex hull based tensor machine for gearbox fault intelligent diagnosis with multi-source signals

Measurement ◽  
2020 ◽  
Vol 163 ◽  
pp. 107965
Author(s):  
Zhiyi He ◽  
Haidong Shao ◽  
Junsheng Cheng ◽  
Yu Yang ◽  
Jiawei Xiang
Keyword(s):  
Convex Hull ◽  
Intelligent Diagnosis ◽  
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