PATENT CLAIM ANALYSIS

Application Number: 16064722
Application Type: Utility
Filing Date: 2018-06
Publication Date: 2018-10
Patent Classification: ["356", "601000"]

Abstract:
There is provided a misalignment detecting device being capable of detecting and correcting distortion of a spoked wheel with a simple configuration. The misalignment detecting device includes: supporting frames  12 a,  12 b  to which the spoked wheel  30  to be inspected is set; a first light source  13  that is attached to the supporting frame and irradiates first detected light to the spoked wheel set on the supporting frame in an axial direction of the spoked wheel; a first line sensor  14  that is attached to the supporting frame so as to be capable of receiving the first detected light and detects radial distortion of the spoked wheel without contact based on the received first detected light; a second light source  15  that is attached to the supporting frame and irradiates second detected light to the spoked wheel set on the supporting frame in a direction intersecting the axial direction of the spoked wheel; and a second line sensor  16  that is attached to the supporting frame so as to be capable of receiving the second detected light and detects axial distortion of the spoked wheel without contact based on the received second detected light.

Claim (Index 8):
The misalignment detecting device of the spoked wheel according to  claim 2 , wherein the first line sensor outputs a trigger that is associated with a position of the rim to which each of the other ends of the plurality of spokes is connected and that instructs reading of detected light at the associated position.

Metadata:
- Claim Count in Document: 1.0
- Percentile: 94.0
- Lexical Diversity: 3.13846
- Patent Class: 356.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['12300585', '15736099', '12133136', '10731349', '10803291']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7318333945437574
- 35 USC 102 Novelty (BERT): 0.4947485876190792
- Combined Prediction Score: 0.7081249138512896
- Mean Citation Score: 217.66872200000003
- Max Citation Score: 223.41
- Similarity Product: 154.0828159189224

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