PATENT CLAIM ANALYSIS

Application Number: 16272683
Application Type: Utility
Filing Date: 2019-02
Publication Date: 2019-08
Patent Classification: ["333", "033000"]

Abstract:
A filter for electromagnetic noise comprising: a printed circuit board ( 5 ) having conductor tracks, having a first side and having a second side opposite the first side; a first busbar ( 1 ), which is secured on the first side of the printed circuit board ( 5 ) and is electrically connected to at least one of the conductor tracks; and a second busbar ( 2 ), which is secured on the second side of the printed circuit board ( 5 ) and is electrically connected to at least one of the conductor tracks. The printed circuit board ( 5 ) is arranged between the first busbar ( 1 ) and the second busbar ( 2 ) for the insulation thereof.

Claim (Index 44):
A vehicle comprising an electrical DC voltage network and a filter connected to the electrical DC voltage network, the filter comprising:\n a printed circuit board having conductor tracks, a first busbar, which is electrically connected to at least one of the conductor tracks; a second busbar, which is electrically connected to at least one of the conductor tracks;\n at least one magnetic element arranged in a ring-shaped fashion around the first and second busbars; and \n at least one capacitor connected to the first and/or second busbar via the conductor tracks.

Metadata:
- Claim Count in Document: 20.0
- Percentile: 99.0
- Lexical Diversity: 2.91111
- Patent Class: 333.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['15674179', '15747674', '15907933', '14916259', '15842043']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.8480393879896206
- 35 USC 102 Novelty (BERT): 0.5226662754756294
- Combined Prediction Score: 0.8155020767382215
- Mean Citation Score: 232.947638
- Max Citation Score: 354.98096
- Similarity Product: 318.12096662300115

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

Dataset: test