PATENT CLAIM ANALYSIS

Application Number: 16160078
Application Type: Utility
Filing Date: 2018-10
Publication Date: 2019-06
Patent Classification: ["384", "448000"]

Abstract:
A rolling element bearing may potentially experience uneven loads across the length of its rolling elements due to either one or more of design errors, manufacturing errors or installation errors or any combination of these errors. The invention enables a physical measurement to be carried out on these potentially uneven loads on the rolling elements of a rolling element bearing by a technique that makes use of two or more load or strain sensors for measurement of roller load induced strain signals along a length of a rolling element in a rolling element bearing with rollers, such as cylindrical rollers for bearing arrangements.

Claim (Index 1):
A method of measuring roller load in a rolling element bearing along the length of a roller, the bearing having an inner ring with a raceway, an outer ring with a raceway and several rolling elements or bodies installed between the rings, the rolling elements being rollers or needles, the method comprising:\n placing two or more load or strain sensors spread along a first line that is substantially parallel to and at a predetermined distance from a second line where a roller contacts a raceway, and measuring and detecting an uneven load along the length of a loaded roller.

Metadata:
- Claim Count in Document: 1.0
- Percentile: 97.0
- Lexical Diversity: 1.7541
- Patent Class: 384.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['13991937', '14879157', '11282774', '14932257', '10432901']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7733506518133608
- 35 USC 102 Novelty (BERT): 0.4689425907978541
- Combined Prediction Score: 0.7429098457118102
- Mean Citation Score: 175.331234
- Max Citation Score: 195.69844
- Similarity Product: 157.4665701761246

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