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Frequency Response Analysis for Three-Phase Star and Delta Induction Motors: Pattern Recognition and Fault Analysis Using Statistical Indicators

Authors :
Salem Mgammal Al-Ameri
Zulkurnain Abdul-Malek
Ali Ahmed Salem
Zulkarnain Ahmad Noorden
Ahmed Allawy Alawady
Mohd Fairouz Mohd Yousof
Mohamed Ibrahim Mosaad
Ahmed Abu-Siada
Hammam Abdurabu Thabit
Source :
Machines, Vol 11, Iss 1, p 106 (2023)
Publication Year :
2023
Publisher :
MDPI AG, 2023.

Abstract

This paper presents a new investigation to detect various faults within the three-phase star and delta induction motors (IMs) using a frequency response analysis (FRA). In this regard, experimental measurements using FRA are performed on three IMs of ratings 1 HP, 3 HP and 5.5 HP in normal conditions, short-circuit fault (SC) and open-circuit fault (OC) conditions. The SC and OC faults are applied artificially between the turns (Turn-to-Turn), between the coils (Coil-to-Coil) and between the phases (Phase-to-Phase). The obtained measurements show that the star and delta IMs result in dissimilar FRA signatures for the normal and faulty windings. Various statistical indicators are used to quantify the deviations between the normal and faulty FRA signatures. The calculation is performed in three frequency ranges: low, middle and high ones, as the winding parameters including resistive, inductive and capacitive components dominate the frequency characteristics at different frequency ranges. Consequently, it is proposed that the boundaries for the used indicators facilitate fault identification and quantification.

Details

Language :
English
ISSN :
20751702
Volume :
11
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Machines
Publication Type :
Academic Journal
Accession number :
edsdoj.881d0b22c6e4ebbb04bf1abd00e4194
Document Type :
article
Full Text :
https://doi.org/10.3390/machines11010106