Sweep frequency response analysis using time frequency distribution

Harman , Usman (2014) Sweep frequency response analysis using time frequency distribution. Project Report. UTeM. (Submitted)

Text SWEEP FREQUENCY RESPONSE ANALYSIS (SFRA) USING TIME FREQUENCY DISTRIBUTION (TFD) 24pages.pdf Download (615kB)

Abstract

Sweep Frequency Response Analysis (SFRA) is a powerful method can be applied in order to detect or trace the mechanical faults occurs in the transformer. SFRA by using Time Frequency Distribution (TFD) is the method or technique has been selected to be used because TFD able to reduce the noise and also produce the reliable result. This project starts with constructing the tested transformer which are healthy and unhealthy transformer with Omicron Bode 100 devices. Healthy transformer will be the reference for analysis between the healthy and unhealthy transformer such as radial fault transformer, axial fault transformer and also shorten turn transformer. The result from Omicron Bode 100 is in the form of magnitude varies with frequency. The process occurs inside the Omicron Bode 100 is only injected the signal with sweeping frequency in the range of 10 Hz to 2 MHz into the terminal transformer and the result will display at the software Omicron Lab- Bode Analyzer Suite. Next, by using software MATLAB, the result will be convert into TFD). Based on literatures, it proves that TFD capable to trace or detect the presence of mechanical faults within the transformer. Moreover, TFD is a simple method and able to implement in order to obtain the reliable result. In this project, TFD is executed in the form of spectrogram where the time and frequency plot together in one graph. Basically, spectrogram is the common tools for time-frequency analysis. Finally, the analysis will be compared between the healthy transformer and unhealthy transformer to detect the type of mechanical faults that are occurring in the transformer.

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