PATENT CLAIM ANALYSIS

Application Number: 15939599
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2018-11
Patent Classification: ["318", "490000"]

Abstract:
A motor control system includes a motor, a resolver configured to detect a rotation angle of the motor, a resolver/digital converter configured to convert an analog angle signal output from the resolver into a digital angle signal, and a motor control unit configured to control the motor based on the digital angle signal output from the resolver/digital converter and determine, when an integrated value obtained by integrating the digital angle signal at a predetermined time interval is not within a threshold range, that the resolver/digital converter is abnormal. The motor control unit increases the time interval for the integration when a rotation speed of the motor decreases and decreases the time interval for the integration when the rotation speed of the motor increases.

Claim (Index 4):
A method for detecting an abnormality in a resolver/digital converter, comprising:\n converting, by a resolver/digital converter, a rotation angle of a motor detected by a resolve into a digital angle signal and integrating the obtained digital angle signal at a predetermined time interval; and determining, when the integrated value of the digital angle signal is not within a threshold range, that the resolver/digital converter is abnormal, wherein the time interval is increased when a rotation speed of the motor decreases, and is decreased when the rotation speed of the motor increases.

Metadata:
- Claim Count in Document: 7.0
- Percentile: 90.0
- Lexical Diversity: 2.40741
- Patent Class: 318.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['15719474', '10916466', '11043639', '11919794', '15041704']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6209703765900948
- 35 USC 102 Novelty (BERT): 0.4878952896074679
- Combined Prediction Score: 0.6076628678918322
- Mean Citation Score: 195.682372
- Max Citation Score: 203.61278
- Similarity Product: 151.73312519562958

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 1
- Claim Label 112: 0
- Combined Label: 1
- Label 101 Adjusted: 1

Dataset: test