Components of meat texture are especially important features for consumers. The systems with guaranteed repeatable quality must be associated with online, reliable and quick measurements of chosen, critical for consumers, quality features. In case of the texture features, the most important is tenderness. In laboratory conditions it is measured using shear test. However, it is a time-consuming and destructive method without possibility of measurement automation. Hence, in case of online measure¬ments, there is a necessity to use other methods. The most promising methods are near-infrared spectroscopy and computer image analysis, enabling measurement of a lot of features, inter alia texture features.
Mechanical deformation in transformer windings can be detected with the transfer function (TF). Normally the transformer will be disconnected from the public power supply to record the TF (offline measuring). Another possibility is to calculate the TF from the transients overvoltages generated from switching operations or lightning strikes. With adequate sensors these overvoltages can be recorded during operation of the transformer (online-measuring). On the basis of these online-datas diverse problems like separationof excitation- and response signal, too low signal-to-noise ratio, etc. and their solution will be shown in this paper.
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