PATENT CLAIM ANALYSIS

Application Number: 16184881
Application Type: Utility
Filing Date: 2018-11
Publication Date: 2019-05
Patent Classification: ["399", "050000"]

Abstract:
An image forming apparatus includes: a photoreceptor including a surface layer; a storage that stores a target value of a variation of a film thickness of the surface layer; and a hardware processor that acquires a variation of the film thickness in a first period within which the photoreceptor rotates a predetermined number of times, and sets a margin that is an amount of a portion for allowance with respect to a proper value of a parameter related to control of the photoreceptor, the margin being to be employed after the first period.

Claim (Index 8):
The image forming apparatus according to  claim 1 , wherein\n the hardware processor acquires the variation of the film thickness based on a relationship between a charging voltage to be applied to the charging roller and a current flowing through the photoreceptor by the charging voltage, and when an accumulated number of rotations of the photoreceptor is larger than a predetermined reference number of rotations, the hardware processor sets a peak-to-peak voltage of an AC component of a charging voltage to be applied to the charging roller lower compared to a case where the accumulated number of rotations of the photoreceptor is smaller than the predetermined reference number of rotations.

Metadata:
- Claim Count in Document: 11.0
- Percentile: 98.0
- Lexical Diversity: 1.76786
- Patent Class: 399.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['16121092', '14327751', '11545486', '15053253', '15050023']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7977686852777339
- 35 USC 102 Novelty (BERT): 0.5001091470636047
- Combined Prediction Score: 0.768002731456321
- Mean Citation Score: 223.073156
- Max Citation Score: 261.47778
- Similarity Product: 190.16731588995688

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