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EN
A set of experiments having in target determination of fracture resistance was performed on the Fiber Reinforced Polymer (FRP) composites specimens with an additional monitoring of damage onset and evolution with a so-called Acoustic Emission (AE) technique. The AE technique is a non-destructive material testing method, which enables registering the phenomena usually not audible with a human ear - the frequency bands lay between 100 and 1000kHz. For the FRP composites this enables monitoring various damage phenomena - matrix cracking, delamination, fiber cracking etc. by acquisition and subsequent analysis of several AE parameters: number of hits, number of counts, amplitude or energy of the signal. In the paper advantages of a deeper analysis of the raw AE signal was presented with an application of the Fast Fourier Transform (FFT), leading to a more detailed damage identification along the whole loading procedure. The study proved the usability of the AE method in damage monitoring of the FRPs; a bundle of illustrative examples of chosen acoustic emission parameters’ evolution displayed on the background of the load applied to composite specimens was presented and interpreted.
EN
This paper presents research results related to measurements of partial discharges (PD), which may occur in oil insulation systems of electric power transformers. Three measuring methods were considered: electrical (apparent charge - IEC60270), acoustic emission (AE) and ultra-high frequency (UHF) method. Research works have been proceeded under laboratory condition. PD were generated using special apparatus and spark gap configuration for surface PD modeling. Measurements were performed simultaneously for each of the regarded methods and were repeated for selected supply voltage levels. The electrical and UHF methods measurements were made using MPD measuring system from Omicron. The AE method measurements were made using a piezoelectric transducer, which was installed on the outer transformer tank wall. Comparative analysis of signals gathered during research works was made. Possibilities of application of the three considered PD detection methods for electric power systems with oil insulation were proposed in the paper.
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