PATENT CLAIM ANALYSIS

Application Number: 15916943
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2019-09
Patent Classification: ["714", "026000"]

Abstract:
Systems and methods for detecting an anomaly in a power semiconductor device are disclosed. A system includes a server computing device and one or more local components communicatively coupled to the server computing device. Each local component includes sensors positioned adjacent to the power semiconductor device for sensing properties thereof Each local component receives data corresponding to one or more sensed properties of the power semiconductor device from the sensors and transmits the data to the server computing device. The server computing device utilizes the data, via a machine learning algorithm, to generate a set of eigenvalues and associated eigenvectors and select a selected set of eigenvalues and associated eigenvectors. Each local component conducts a statistical analysis of the selected set of eigenvalues and associated eigenvectors to determine that the data is indicative of the anomaly.

Claim (Index 2):
The system of  claim 1 , wherein each one of the one or more local components further generates a reduced data matrix from the selected set of eigenvalues and associated eigenvectors and conducts the statistical analysis from the reduced data matrix.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 90.0
- Lexical Diversity: 2.2
- Patent Class: 714.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15408092', '15569222', '14537839', '14536477', '12577913']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2924852182951902
- 35 USC 102 Novelty (BERT): 0.4753734331700104
- Combined Prediction Score: 0.3107740397826722
- Mean Citation Score: 143.56622199999995
- Max Citation Score: 149.083
- Similarity Product: 101.17653184115886

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

Dataset: test