Offline Identification of Induction Machine Parameters With Core Loss Estimation Using the Stator Current Locus

2016 ◽  
Vol 31 (4) ◽  
pp. 1549-1558 ◽  
Author(s):  
David M. Reed ◽  
Heath F. Hofmann ◽  
Jing Sun
Keyword(s):  
Core Loss ◽  
Induction Machine ◽  
Loss Estimation ◽  
Stator Current ◽  
Current Locus

scholarly journals Stator current demodulation for induction machine rotor faults diagnosis

2014 ◽  
Author(s):  
El Houssin El Bouchikhi ◽  
Vincent Choqueuse ◽  
Mohamed Benbouzid ◽  
Jose A. Antonino-Daviu
Keyword(s):  
Induction Machine ◽  
Stator Current ◽  
Rotor Faults ◽  
Faults Diagnosis

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.

scholarly journals Min-Max Predictive Control of a Five-Phase Induction Machine

Energies ◽  
2019 ◽  
Vol 12 (19) ◽  
pp. 3713
Author(s):  
Daniel R. Ramirez ◽  
Cristina Martin ◽  
Agnieszka Kowal G. ◽  
Manuel R. Arahal
Keyword(s):  
Fuzzy Logic ◽  
Predictive Control ◽  
Loss Function ◽  
Traditional Method ◽  
Induction Machine ◽  
Decision Function ◽  
Current Control ◽  
Stator Current ◽  
First Time ◽  
Selection Of

In this paper, a fuzzy-logic based operator is used instead of a traditional cost function for the predictive stator current control of a five-phase induction machine (IM). The min-max operator is explored for the first time as an alternative to the traditional loss function. With this proposal, the selection of voltage vectors does not need weighting factors that are normally used within the loss function and require a cumbersome procedure to tune. In order to cope with conflicting criteria, the proposal uses a decision function that compares predicted errors in the torque producing subspace and in the x-y subspace. Simulations and experimental results are provided, showing how the proposal compares with the traditional method of fixed tuning for predictive stator current control.

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