Frequency response analysis for three-phase star and delta induction motors: pattern recognition and fault analysis using statistical indicators

• Main Authors: Al-Ameri, Salem Mgammal, Abdul Malek, Zulkurnain, Salem, Ali Ahmed, Ahmad Noorden, Zulkarnain, Alawady, Ahmed Allawy, Mohd. Yousof, Mohd. Fairouz, Mosaad, Mohamed Ibrahim, Abu Siada, Ahmed, Thabit, Hammam Abdurabu
• Format: Article
• Language: English
• Published: MDPI 2023
• Subjects: TK Electrical engineering. Electronics Nuclear engineering
• Online Access: http://eprints.utm.my/105250/1/AliAhmedSalem2023_FrequencyResponseAnalysisforThree.pdf; http://eprints.utm.my/105250/; http://dx.doi.org/10.3390/machines11010106

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.