PATENT CLAIM ANALYSIS

Application Number: 15937351
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2019-02
Patent Classification: ["073", "579000"]

Abstract:
A method for railcar axle crack detection takes advantage of crack breathing. The method includes exciting resonance frequencies of a railcar axle, measuring the resonance frequencies of the railcar axle, selecting at least one resonance frequency from the measured resonance frequencies and automatically determining whether the railcar axle is cracked from the at least one selected resonance frequency. An associated system includes means for exciting resonance frequencies of a railcar axle, means for measuring the resonance frequencies of the railcar axle and computing hardware. The computing hardware is configured to select at least one resonance frequency from the measured resonance frequencies and automatically determine whether the railcar axle is cracked from the at least one identified resonance frequency.

Claim (Index 17):
The system as set forth in  claim 16 , wherein the computing hardware is further configured to determine whether at least one identified resonance frequency varies during the rotating and translating.

Metadata:
- Claim Count in Document: 40.0
- Percentile: 90.0
- Lexical Diversity: 2.71739
- Patent Class: 73.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['11655672', '14685283', '15154553', '14154328', '11615309']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7034105237144775
- 35 USC 102 Novelty (BERT): 0.4706209234251996
- Combined Prediction Score: 0.6801315636855498
- Mean Citation Score: 148.573074
- Max Citation Score: 161.08063
- Similarity Product: 119.81022430426836

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

Dataset: test