Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Online Detection of Low-Quality Synchrophasor Data Considering Frequency
  Similarity   This letter proposes a new approach for online detection of low-quality
synchrophasor data under both normal and event conditions. The proposed
approach utilizes the features of synchrophasor data in time and frequency
domains to distinguish multiple regional PMU signals and detect low-quality
synchrophasor data. The proposed approach does not require any offline study
and it is more effective to detect low-quality data with apparently
indistinguishable profiles. Case studies from recorded synchrophasor
measurements verify the effectiveness of the proposed approach.

5
The categories of this paper are: gr-qc
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The categories of this paper are: hep-ph
15
The categories of this paper are: nucl-ex
27
The categories of this paper are: comp-gas
18
The categories of this paper are: econ
21
The categories of this paper are: adap-org
37
The categories of this paper are: supr-con
30
The categories of this paper are: q-alg
12
The categories of this paper are: nucl-th
10
The categories of this paper are: q-bio
34
The categories of this paper are: chem-ph
8
The categories of this paper are: hep-ex
31
The categories of this paper are: ao-sci
35
The categories of this paper are: mtrl-th
11
The categories of this paper are: hep-lat
29
The categories of this paper are: funct-an