Discrimination of Unbalanced Supply and Stator Interturn Faults in Induction Machines

2020 ◽  
pp. 815-830
Author(s):  
D. Kouchih ◽  
R. Hachelaf ◽  
N. Boumalha
Keyword(s):  
Induction Machines

Torque fluctuation and critical clearing time in wind power generation by induction machines

2006 ◽  
Vol 1 (04) ◽  
pp. 379-384
Author(s):  
Luigi Piegari ◽  
Renato Rizzo ◽  
Debora Coll-Mayor
Keyword(s):  
Power Generation ◽  
Wind Power ◽  
Induction Machines ◽  
Wind Power Generation ◽  
Clearing Time

scholarly journals Comprehensive Parameters Identification and Dynamic Model Validation of Interior-Mount Line-Start Permanent Magnet Synchronous Motors

Machines ◽  
2019 ◽  
Vol 7 (1) ◽  
pp. 4 ◽  
Author(s):  
Luqman S. Maraaba ◽  
Zakariya M. Al-Hamouz ◽  
Abdulaziz S. Milhem ◽  
Ssennoga Twaha
Keyword(s):  
Mathematical Model ◽  
Permanent Magnet ◽  
High Efficiency ◽  
Experimental Tests ◽  
Induction Machines ◽  
Test Methods ◽  
Operating Conditions ◽  
Test Method ◽  
Permanent Magnet Synchronous Motors ◽  
Synchronous Motors

The application of line-start permanent magnet synchronous motors (LSPMSMs) is rapidly spreading due to their advantages of high efficiency, high operational power factor, being self-starting, rendering them as highly needed in many applications in recent years. Although there have been standard methods for the identification of parameters of synchronous and induction machines, most of them do not apply to LSPMSMs. This paper presents a study and analysis of different parameter identification methods for interior mount LSPMSM. Experimental tests have been performed in the laboratory on a 1-hp interior mount LSPMSM. The measurements have been validated by investigating the performance of the machine under different operating conditions using a developed qd0 mathematical model and an experimental setup. The dynamic and steady-state performance analyses have been performed using the determined parameters. It is found that the experimental results are close to the mathematical model results, confirming the accuracy of the studied test methods. Therefore, the output of this study will help in selecting the proper test method for LSPMSM.

Rotor Temperature Virtual Sensing for Induction Machines using a Lumped-Parameter Thermal Network and Dual Kalman Filtering

2021 ◽  
pp. 1-1
Author(s):  
Pieter Nguyen Phuc ◽  
Dimitar Vaskov Bozalakov ◽  
Hendrik Vansompel ◽  
Kurt Stockman ◽  
Guillaume Crevecoeur
Keyword(s):  
Kalman Filtering ◽  
Induction Machines ◽  
Thermal Network ◽  
Lumped Parameter ◽  
Virtual Sensing

scholarly journals Induction Machines Handbook, Third Edition [Book News]

2020 ◽  
Vol 14 (4) ◽  
pp. 185-186
Author(s):  
Marian P. Kazmierkowski
Keyword(s):  
Induction Machines
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