PATENT CLAIM ANALYSIS

Application Number: 16208344
Application Type: Utility
Filing Date: 2018-12
Publication Date: 2019-04
Patent Classification: ["702", "058000"]

Abstract:
An example fault detection circuit includes: a positive sequence voltage calculator to calculate a positive sequence voltage value for a three-phase motor; a positive sequence current calculator to calculate a positive sequence current value for the three-phase motor; an interpolator to calculate an expected negative sequence voltage value based on the positive sequence voltage value, the positive sequence current value, and measured characteristics of the three-phase motor; a negative sequence voltage calculator to calculate a measured negative sequence voltage value for the three-phase motor; and a fault detector to detect that a winding fault exists in the three-phase motor when a difference between the expected negative sequence voltage value and the measured negative sequence voltage value satisfies a threshold.

Claim (Index 3):
The fault detection circuit of  claim 2 , wherein the interpolator is to calculate the expected negative sequence voltage value by:\n identifying one of the combinations of the training positive sequence voltage values and the training positive sequence current values responsive to the positive sequence voltage value and the positive sequence current value; and interpolating the expected negative sequence voltage value using one of the training negative sequence voltage values that corresponds to the identified one of the one of the combinations of the training positive sequence voltage values and the training positive sequence current values.

Metadata:
- Claim Count in Document: 38.0
- Percentile: 98.0
- Lexical Diversity: 2.88636
- Patent Class: 702.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['14755069', '14230260', '12513531', '12805840', '12698221']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.1805131352054627
- 35 USC 102 Novelty (BERT): 0.669817267392499
- Combined Prediction Score: 0.2294435484241664
- Mean Citation Score: 314.820208
- Max Citation Score: 648.1219
- Similarity Product: 640.1740197639585

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

Dataset: test