PATENT CLAIM ANALYSIS

Application Number: 15968004
Application Type: Utility
Filing Date: 2018-05
Publication Date: 2018-11
Patent Classification: ["318", "434000"]

Abstract:
An abnormality diagnosing device diagnoses a driving abnormality of a single motor driven by a plurality of motor driving devices. The plurality of motor driving devices calculate a plurality of voltage command values based on a speed command, and voltages are applied to a plurality of windings possessed by the motor based on the plurality of calculated voltage command values, thereby driving the motor. The abnormality diagnosing device is equipped with a command value difference calculating unit for calculating a difference between the plurality of voltage command values calculated by the plurality of motor driving devices, and a determination unit for determining the presence of an abnormality, when an absolute value of the difference calculated exceeds a first threshold value continuously for a predetermined time period.

Claim (Index 9):
The abnormality diagnosing method according to  claim 7 , wherein the determining step determines that there is an abnormality, if an absolute value of at least one from among the plurality of voltage command values exceeds a second threshold value, and the absolute value of the difference exceeds the first threshold value continuously for the predetermined time period.

Metadata:
- Claim Count in Document: 7.0
- Percentile: 93.0
- Lexical Diversity: 2.375
- Patent Class: 318.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['15968181', '15820554', '15348296', '15504723', '15508742']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7015513421067135
- 35 USC 102 Novelty (BERT): 0.5242532007920702
- Combined Prediction Score: 0.6838215279752492
- Mean Citation Score: 226.983646
- Max Citation Score: 318.34134
- Similarity Product: 206.83628786273

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