Detection of demagnetization faults in multi-phase ferrite-PM assisted synchronous reluctance materials
Year: 2020
Type: dissertation
Abstract: Demagnetization fault in five phases ferrite permanent magnet assisted synchronous reluctance machine is an important fault in this electric machine because this type may lead to a change in the basic characteristics of the electric machine and if this type of fault is not detected timely, they can quickly progress into more severe demagnetization faults. The main aim of this thesis is to detect demagnetization fault in an early stage with two pole demagnetization. There are two methods to analyze a fault in the electric machine. In this thesis, they are online and offline fault analysis. This thesis compared both the types of analyzing fault. In offline fault analysis, we have analyzed using the back-EMF method which gives the required results but these results will help us to determine the deviated parameter in spectral analysis and they don’t help us to predict the faults in early stages. In the case of online fault analysis, this thesis analyzes the spectral content of motor current signature, zero sequence voltage component, and deviation in power factor due to demagnetization fault. It is proven that demagnetization faults can be detected earlier with the help of online fault analysis which provides more sensitivity than offline fault analysis. To conclude, this thesis proposes three demagnetization fault indicators and the minimum threshold values to determine these faults in early stages which are based on the results obtained from the spectral analysis of motor current signature and zero sequence voltage component, and deviation in the power factor.
Author: Dinesh Valarmathi Thangamuthu
Language: English
Subfield: Control and Systems Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W3109221850