PATENT CLAIM ANALYSIS

Application Number: 15744700
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2018-08
Patent Classification: ["324", "220000"]

Abstract:
The present invention quickly carries out quantitative evaluation of a defect of a magnetic member. An inspection probe ( 100 ), which includes: a third magnet ( 4 ) polarized in a direction intersecting a counter surface facing a magnetic member; a Hall element ( 11 ) that detects a density of a magnetic flux passing through the third magnet ( 4 ) and the magnetic member, is used to apply, to an output signal from the Hall element ( 11 ), an evaluation algorithm which is selected according to whether a defective surface is a front surface or a back surface.

Claim (Index 6):
The method as set forth in  claim 4 , wherein:\n the step (C) includes the step of (F) calculating a defect range indicative of a range of a defect along a circumference of a cross section perpendicular to the axis of the magnetic pipe; and in the step (F), the defect range of the defect of the magnetic pipe is calculated in accordance with (i) defect range calculating data which is set in advance based on a relationship between (a) a maximum value of output voltage values from the respective magnetic sensors in a case where a plurality of types of defects formed on a test magnetic pipe are measured, (b) a combined value of values obtained by dividing the respective output voltage values by the maximum value, and (c) each of actual defect ranges of the respective plurality of types of defects formed on the test magnetic pipe, (ii) a maximum value of output voltage values from the respective magnetic sensors in a case where the magnetic pipe is measured, and (iii) a combined value of values obtained by dividing the respective output voltage values by the maximum value.

Metadata:
- Claim Count in Document: 9.0
- Percentile: 86.0
- Lexical Diversity: 1.77419
- Patent Class: 324.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['12336585', '13381347', '14423626', '13509781', '15015027']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.603941929241643
- 35 USC 102 Novelty (BERT): 0.4698081694952315
- Combined Prediction Score: 0.5905285532670019
- Mean Citation Score: 181.295272
- Max Citation Score: 187.99216
- Similarity Product: 144.59859943428998

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