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 17):
A fault detection circuit, comprising:\n a first Clarke transformer having three-phase voltage signals as a first input and having an alpha voltage signal as a first output and a beta voltage signal as a second output; a positive sequence voltage calculator having the alpha voltage signal as a second input and the beta voltage signal as a third input, and having a positive sequence voltage value as a third output; a negative sequence voltage calculator having the alpha voltage signal as a fourth input and the beta voltage signal as a fifth input, and having a direct negative sequence voltage value as a fourth output and a quadrature negative sequence voltage value as a fifth output; a second Clarke transformer having three-phase current signals as a sixth input and having an alpha current signal as a sixth output and a beta current signal as a seventh output; a positive sequence current calculator having the alpha current signal as a seventh input and the beta current signal as an eighth input, and having a positive sequence current value as an eighth output; an interpolator having the positive sequence voltage value as a ninth input, the positive sequence current value as a tenth input, and a baseline table as an eleventh input, the interpolator to generate, based on training data stored in the baseline table, the positive sequence voltage value, and the positive sequence current value, an expected direct negative sequence voltage value as a ninth output and an expected quadrature negative sequence voltage value as a tenth output; a first subtractor having the direct negative sequence voltage value as a twelfth input and the expected direct negative sequence voltage value as a thirteenth input, the first subtractor to determine a first difference value between the direct negative sequence voltage value and the expected direct negative sequence voltage value as an eleventh output; a second subtractor having the quadrature negative sequence voltage value as a fourteenth input and the expected quadrature negative sequence voltage value as a fifteenth input, the second subtractor to determine a second difference value between the quadrature negative sequence voltage value and the expected quadrature negative sequence voltage value as an twelfth output; an amplitude calculator having the first difference value as a sixteenth input and the second difference value as a seventeenth input, the amplitude calculator to output an amplitude of the first difference value and the second difference value as a thirteenth output; and a fault detector having the amplitude as a eighteenth input and to output a fault detection signal as a fourteenth output when the amplitude satisfies a threshold.

Metadata:
- Claim Count in Document: 38.0
- Percentile: 98.0
- Lexical Diversity: 2.88636
- Patent Class: 702.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14755069', '14230260', '12513531', '12805840', '12698221']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.1655065414964177
- 35 USC 102 Novelty (BERT): 0.6593764304728655
- Combined Prediction Score: 0.2148935303940624
- Mean Citation Score: 314.820208
- Max Citation Score: 648.1219
- Similarity Product: 611.7447931175112

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

Dataset: test