PATENT CLAIM ANALYSIS

Application Number: 15774284
Application Type: Utility
Filing Date: 2018-05
Publication Date: 2018-11
Patent Classification: ["702", "058000"]

Abstract:
A direct current (DC) fault arc detection method, including performing sampling, filtering and fast Fourier transform (FFT) on an input current of a high frequency power electronics converter, to obtain an amplitude-frequency characteristic curve of a current high frequency component; and selecting, from the amplitude-frequency characteristic curve, at least one frequency band including a switching frequency or a multiple frequency, calculating a peak value D 1  of amplitudes and an average value D 2  of the amplitudes within the frequency band, and determining, according to a change of a distance between the peak value D 1  and the average value D 2 , whether an arc occurs, where if the average value D 2  approaches the peak value D 1 , an arc occurs; otherwise, no arc occurs.

Claim (Index 1):
A direct current (DC) fault arc detection method, comprising the following steps:\n step 1: performing sampling, filtering and fast Fourier transform (FFT) on an input current of a high frequency power electronics converter, to obtain an amplitude-frequency characteristic curve of a current high frequency component; and step 2: selecting, from the amplitude-frequency characteristic curve, at least one frequency band comprising a switching frequency or a multiple frequency, calculating a peak value D 1  of amplitudes and an average value D 2  of the amplitudes within the frequency band, and determining, according to a change of a distance between the peak value D 1  and the average value D 2 , whether an arc occurs, wherein if the average value D 2  approaches the peak value D 1 , an arc occurs; otherwise, no arc occurs.

Metadata:
- Claim Count in Document: 3.0
- Percentile: 93.0
- Lexical Diversity: 2.10145
- Patent Class: 702.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['14074235', '15397389', '14285903', '12637873', '11679281']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.1866159803875421
- 35 USC 102 Novelty (BERT): 0.4687468896953425
- Combined Prediction Score: 0.2148290713183221
- Mean Citation Score: 154.013644
- Max Citation Score: 165.77219
- Similarity Product: 125.23544831114052

Labels:
- Claim Label 101: 0
- Claim Label 102: 1
- Claim Label 103: 1
- Claim Label 112: 1
- Combined Label: 0
- Label 101 Adjusted: 0

Dataset: test