Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Mode Shape Estimation using Complex Principal Component Analysis and
  k-Means Clustering   We propose an empirical method for identifying low damped modes and
corresponding mode shapes using frequency measurements from a Wide Area
Monitoring System. The method consists of two main steps: Firstly, Complex
Principal Component Analysis is used in combination with the Hilbert Transform
and Empirical Mode Decomposition to provide estimates of modes and mode shapes.
The estimates are stored as multidimensional points. Secondly, the points are
grouped using a clustering algorithm, and new averaged estimates of modes and
mode shapes are computed as the centroids of the clusters. Applying the method
on data resulting from a non-linear power system simulator yields estimates of
dominant modes and corresponding mode shapes that are similar to those
resulting from modal analysis of the linearized system model. Encouraged by the
results, the method is further tested with real PMU data at transmission grid
level. Initial results indicate that the performance of the proposed method is
promising.

29
The categories of this paper are: funct-an
32
The categories of this paper are: atom-ph
31
The categories of this paper are: ao-sci
4
The categories of this paper are: cond-mat
21
The categories of this paper are: adap-org
8
The categories of this paper are: hep-ex
25
The categories of this paper are: patt-sol
5
The categories of this paper are: gr-qc
30
The categories of this paper are: q-alg
3
The categories of this paper are: physics
33
The categories of this paper are: plasm-ph
37
The categories of this paper are: supr-con
18
The categories of this paper are: econ
28
The categories of this paper are: alg-geom
27
The categories of this paper are: comp-gas
15
The categories of this paper are: nucl-ex