PATENT CLAIM ANALYSIS

Application Number: 15860028
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2018-07
Patent Classification: ["700", "193000"]

Abstract:
A machine learning device that can optimize an equation for estimating a thermal displacement amount of a machine element based on the operating state of the machine element. The device acquires operating state data of the machine element, acquires a measured value for the thermal displacement amount, stores the operating state data and measured values for the thermal displacement amount of the machine element as training data associated together as a label, sets an equation for calculation the thermal displacement amount based on the operating state data, calculates an estimated value for the thermal displacement amount by substituting the operating state data into this equation, determines whether a difference between the estimated value for the thermal displacement amount and the measured value for the thermal displacement amount is no more than a predetermined threshold.

Claim (Index 6):
A thermal displacement compensation device for a machine tool, the device comprising:\n a compensation amount calculation means for calculating a compensation amount corresponding to the thermal displacement amount of the machine element calculated from the operating state data of the machine element, based on an equation optimized by way of the machine learning device according to  claim 1 ; and a compensation execution means for compensating the machine position of the machine element, based on a compensation amount of the machine element calculated by the compensation amount calculation means.

Metadata:
- Claim Count in Document: 1.0
- Percentile: 86.0
- Lexical Diversity: 2.56364
- Patent Class: 700.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['15729801', '14025389', '13671952', '15458028', '13809937']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3778563844874769
- 35 USC 102 Novelty (BERT): 0.470843983254317
- Combined Prediction Score: 0.3871551443641609
- Mean Citation Score: 214.97365
- Max Citation Score: 224.47452
- Similarity Product: 201.40391538133616

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