Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Vegetation High-Impedance Faults' High-Frequency Signatures via Sparse
  Coding   The behavior of High-Impedance Faults (HIFs) in power distribution systems
depends on multiple factors, making it a challenging disturbance to model. If
enough data from real staged faults is provided, signal processing techniques
can help reveal patterns from a specific type of fault. Such a task is
implemented herein by employing the Shift-Invariant Sparse Coding (SISC)
technique on a data set of staged vegetation high-impedance faults. The
technique facilitates the uncoupling of shifted and convoluted patterns present
in the recorded signals from fault tests. The deconvolution of these patterns
was then individually studied to identify the possible repeating fault
signatures. The work is primarily focused on the investigation of the
under-discussed high-frequency faults signals, especially regarding voltage
disturbances created by the fault currents. Therefore, the main contribution
from this paper is the resulted evidence of consistent behavior from real
vegetation HIFs at higher frequencies. These results can enhance phenomena
awareness and support future methodologies dealing with these disturbances.

17
The categories of this paper are: q-fin
7
The categories of this paper are: hep-th
37
The categories of this paper are: supr-con
9
The categories of this paper are: nlin
35
The categories of this paper are: mtrl-th
32
The categories of this paper are: atom-ph
34
The categories of this paper are: chem-ph
18
The categories of this paper are: econ
0
The categories of this paper are: hep-ph
5
The categories of this paper are: gr-qc
1
The categories of this paper are: cs
25
The categories of this paper are: patt-sol
11
The categories of this paper are: hep-lat
23
The categories of this paper are: solv-int
22
The categories of this paper are: chao-dyn
15
The categories of this paper are: nucl-ex