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Interturn Fault Detection in Induction Machines Based on High-Frequency Injection

Authors :
Zanuso, Giovanni
Kumar, Sathiya Lingam Senthil
Peretti, Luca
Zanuso, Giovanni
Kumar, Sathiya Lingam Senthil
Peretti, Luca
Publication Year :
2023

Abstract

An interturn short-circuit in the stator windings can lead to the breakdown of electrical machines. In the case of induction machines, several fault detection methods and faulted models have been developed in the recent decades. These models differ mainly in how the leakage inductances of the faulted winding are modeled. This work provides a generalized model for interturn short-circuit faults, using different assumptions for the leakage inductances. The model is validated with experimental results for an exhaustive set of fault parameters, and the leakage inductances influence is analyzed. Moreover, the model is used to analyze the drawbacks of the negative-sequence fundamental current as a traditional fault signature. A high-frequency injection method for converter-fed machines is presented to overcome these limits. The proposed fault signature is the negative-sequence current at the injection frequency and it is evaluated experimentally at different operating conditions. The fault severity and its location are proved to be related to the proposed fault signature.<br />Not duplicate with DiVA 1657021QC 20230202

Details

Database :
OAIster
Notes :
application/pdf, English
Publication Type :
Electronic Resource
Accession number :
edsoai.on1372251215
Document Type :
Electronic Resource
Full Text :
https://doi.org/10.1109.tie.2022.3217590