Switching-mode power converters are one of the most ubiquitous electronic devices thatare used in all fields of life - from simple home appliances to cutting-edge space technologies.Often the power converter is one of the weakest links in the equipment since it isusually directly connected to the power grid and will be affected first from voltage spikesand other irregularities. As a lot of the applications of switching-mode power convertersare mission-critical, it is important to minimize the risks of unexpected breakdowns of thedevices. The aim of this project is to find a simple and reliable way to diagnose a failingpower converter in order to make it possible to react before the failure could affect themain equipment. For that, a basis for a Discrete Time Fourier Transform based methodwas developed, which could allow to diagnose some of the most common potential failuresof equipment using simple and robust devices for measurement and analysis. This reportdetails patterns in the general time-domain shapes of the voltage load and current as wellas the high-frequency components of the voltage. In addition, it also looks at these patternsin the frequency domain and suggests a few possibilities for how a method could bedeveloped. The results of the work show the potential of the approach for further developmentof an embedded diagnostic unit that would make it possible to forecast emergingfailure of a power unit.
| Identifer | oai:union.ndltd.org:UPSALLA1/oai:DiVA.org:uu-532660 |
| Date | January 2024 |
| Creators | Tuuli, Tiivel |
| Source Sets | DiVA Archive at Upsalla University |
| Language | English |
| Detected Language | English |
| Type | Student thesis, info:eu-repo/semantics/bachelorThesis, text |
| Format | application/pdf |
| Rights | info:eu-repo/semantics/openAccess |
| Relation | MATVET-F ; 24040 |
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