Application and Comparative Analysis of Fuzzy Inference System for Transformer Fault Diagnosis with Dissolved Gases in Oil

2021 ◽  
Author(s):  
Mehmet Murat Ispirli ◽  
Hasan Adali ◽  
Ozcan Kalenderli ◽  
Mehmet Zeki Celik ◽  
Bulent Oral
Keyword(s):  
Comparative Analysis ◽  
Fault Diagnosis ◽  
Fuzzy Inference System ◽  
Fuzzy Inference ◽  
Dissolved Gases ◽  
Inference System ◽  
Transformer Fault

Fault Diagnosis of Roller Bearing Conditions Using ANFIS

2009 ◽  
Vol 16-19 ◽  
pp. 886-890 ◽  
Author(s):  
Wen Tao Sui ◽  
Dan Zhang
Keyword(s):  
Feature Selection ◽  
Fault Diagnosis ◽  
Fuzzy Inference System ◽  
Fuzzy Inference ◽  
Roller Bearing ◽  
Back Propagation ◽  
Selection Criterion ◽  
Data Set ◽  
Inference System ◽  
Roller Bearings

This paper presents a fault diagnosis method on roller bearings based on adaptive neuro-fuzzy inference system (ANFIS) in combination with feature selection. The class separability index was used as a feature selection criterion to select pertinent features from data set. An adaptive neural-fuzzy inference system was trained and used as a diagnostic classifier. For comparison purposes, the back propagation neural networks (BPN) method was also investigated. The results indicate that the ANFIS model has potential for fault diagnosis of roller bearings.

scholarly journals Fault diagnosis of PV array using adaptive network based fuzzy inference system

2020 ◽  
Vol 467 ◽  
pp. 012083
Author(s):  
Yutao Gan ◽  
Zhicong Chen ◽  
Lijun Wu ◽  
Shuying Cheng ◽  
Peijie Lin
Keyword(s):  
Fault Diagnosis ◽  
Fuzzy Inference System ◽  
Fuzzy Inference ◽  
Adaptive Network ◽  
Inference System ◽  
Pv Array
Sign in / Sign up

Export Citation Format

Share Document