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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:10.55041/IJSREM12392

Stator winding fault detection of an Alternator using MATLAB

Stream/Area:

-

Subject:

-

Paper ID:

10.55041/IJSREM12392

Volume:

6 |

4 |

Apr 2022

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM12392

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

ESKM

Er. Sandeep K. Mude

BS

Bhagyashri Suramwar

SM

Saurabh Meshram

DS

Dhanashri Satpute

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Abstract

The paper represents the comprehensive analysis of stator winding faults of an alternator. An alternator is main component of power system which plays a big role in whole system for security and stability. The conventional system only detect symmetrical and unsymmetrical faults, they will not detect inter turn fault. The fault detection of stator winding is an effective and important measure to ensure the safe operation of generator. Early detection of stator winding fault would eliminate damage to stator core & adjacent coils, also reduce repairing cost and outage time of generator. As stator winding fault causes unbalance in phase voltage, this concept is discussed in this paper for the detection of stator winding fault. The negative sequence voltage of generator is used as fault indicator for fault detection. This new method is done using MATLAB software. Also, this method operate for external as well as internal fault and helps the generator winding keep healthy.

KEYWORDS

stator winding fault internal negative sequence voltage internal and external faults.

Cite This Article

Er. Sandeep K. Mude, Bhagyashri Suramwar, Saurabh Meshram, Dhanashri Satpute, "Stator winding fault detection of an Alternator using MATLAB," International Journal of Scientific Research in Engineering and Management, vol. 6, no. 4, Apr 2022. https://doi.org/10.55041/IJSREM12392

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Publication Date

4/23/2022

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Double-Blind Peer Review

Review Rounds: 2

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The authors declare no conflict of interest related to this research work.

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