Dynamic Analysis of the Simultaneous Mixed Eccentricity and Broken Rotor Bars in Induction Machine Based on Magnetic Field Diagnosis

2017 ◽  
Vol 10 (2) ◽  
Author(s):  
Seghiour Abdellatif ◽  
Seghier Tahar ◽  
Zegnini Boubakeur
Keyword(s):  
Magnetic Field ◽  
Dynamic Analysis ◽  
Induction Machine ◽  
Broken Rotor Bars

Induction Machine Rotor and Stator Faults Detection by Applying the N-F Network

2019 ◽  
pp. 205-221
Author(s):  
Souad Saadi Laribi ◽  
Azzedine Bendiabdellah
Keyword(s):  
Spectral Analysis ◽  
Knowledge Base ◽  
Induction Machine ◽  
Broken Rotor Bars ◽  
Stator Current ◽  
Monitoring And Diagnosis ◽  
Neuro Fuzzy ◽  
Incipient Faults ◽  
Fuzzy Network

This chapter focuses on the monitoring and diagnosis of induction machine faults, particularly the broken rotor bars. The design of a system for monitoring, detecting, and locating incipient faults for different loads of the machine is achieved by the use of advanced intelligent techniques based on ANFIS-based neuro-fuzzy network. The knowledge base is based on indicators derived from the stator current spectral analysis of the machine which in addition has to detect and assess the number of faulty bars.

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