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It is shown that radiated emissions from circuits can be efficiently decomposed and represented using principal component analysis (PCA). A hierarchical set of orthonormal spatial eigenmodes and their associated amplitudes are extracted from data for an emitted field that is scanned and measured across a planar area and wide frequency band. This decomposition is applied to the magnetic tangential...
This paper presents a novel approach for the detection of abnormal power system states that force systems into blackout. K-means clustering techniques and two types of distances for identifying pattern clusters are used to detect abnormal conditions. PCA is used for the reduction of the data matrix for faster calculations. The proposed hybrid technique is then demonstrated on an IEEE 14-bus system.
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