PATENT CLAIM ANALYSIS

Application Number: 15963584
Application Type: Utility
Filing Date: 2018-04
Publication Date: 2018-11
Patent Classification: ["318", "400300"]

Abstract:
Provided is an identification method for use in an identification apparatus that identifies types of brushless DC motors. Each brushless DC motor includes a circuit board on which at least one terminal with a pull-up resistance incorporated therein is mounted. The pull-up resistances vary among multiple types of brushless DC motors. A power supply voltage is supplied from the identification apparatus to a brushless DC motor, a pull-up voltage value set by the pull-up resistance and outputted from the at least one terminal of the brushless DC motor is inputted to the identification apparatus, and the identification apparatus identifies the type of the brushless DC motor based on the pull-up voltage value.

Claim (Index 1):
An identification method for use in an identification apparatus that identifies a type of brushless DC motor, wherein\n the brushless DC motor includes a circuit board on which at least one terminal with a pull-up resistance incorporated therein is mounted, the pull-up resistances vary among a plurality of types of brushless DC motors, and the method comprises:\n supplying a power supply voltage from the identification apparatus to the brushless DC motor; \n inputting a pull-up voltage value to the identification apparatus, the pull-up voltage value set by the pull-up resistance and outputted from the at least one terminal of the brushless DC motor; and \n identifying a type of the brushless DC motor based on the pull-up voltage value.

Metadata:
- Claim Count in Document: 2.0
- Percentile: 91.0
- Lexical Diversity: 2.07018
- Patent Class: 318.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['10568123', '10565345', '12642598', '12295956', '10142255']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6998375099795441
- 35 USC 102 Novelty (BERT): 0.4828376889916322
- Combined Prediction Score: 0.6781375278807529
- Mean Citation Score: 211.55366400000003
- Max Citation Score: 222.79556
- Similarity Product: 177.2021916585207

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