PATENT CLAIM ANALYSIS

Application Number: 15937241
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2019-08
Patent Classification: ["398", "021000"]

Abstract:
In general, a system and method consistent with the present disclosure provides automated line monitoring using a machine learning fault classifier for determining whether a signature associated with the high loss loopback (HLLB) data matches a predetermined fault signature. The fault classifier may be applied to signatures generated in response to line monitoring signals of two different wavelengths. A fault may be reported only if the fault classifier indicates a fault in response to the signature for both wavelengths. A second fault classifier may also be used and a fault may be reported only if both the first and second fault classifiers indicate a fault in response to the signature for both wavelengths. A system consistent with the present disclosure may also, or alternatively, be configured to report the value of a pump degradation, span loss, or repeater failure fault, and may also, or alternatively, report the directionality of a span loss fault or the location of a fiber break fault.

Claim (Index 19):
A method according to  claim 12 , wherein the fault is a fiber break fault and the method further comprises:\n transmitting an OTDR test signal on the optical transmission path; receiving an OTDR test signal data from the optical transmission path in response to the OTDR test signal; and reporting a location of the fiber break fault in response to a noise amplitude in the OTDR test signal data.

Metadata:
- Claim Count in Document: 28.0
- Percentile: 90.0
- Lexical Diversity: 2.31579
- Patent Class: 398.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15870311', '13754344', '11829422', '15875734', '12140831']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.712935430967621
- 35 USC 102 Novelty (BERT): 0.546396481631458
- Combined Prediction Score: 0.6962815360340048
- Mean Citation Score: 264.405218
- Max Citation Score: 347.2085
- Similarity Product: 225.84487006455657

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

Dataset: test