PATENT CLAIM ANALYSIS

Application Number: 15987812
Application Type: Utility
Filing Date: 2018-05
Publication Date: 2018-09
Patent Classification: ["702", "058000"]

Abstract:
A system for fault prediction in electrical systems. It includes a network of recording nodes that transmit data to multi-channel recorder. The nodes monitor power quality based on a number of system parameters. These data are assembled into data blocks and are analyzed to determine load factors for the system over time. Data blocks are collected over 22 cycle periods and are evaluated against a derived standard deviation factor for the given system. The standard deviation is used to determine alert and alarm levels. The constant monitoring allows the system to alert workers of a potential upcoming fault in one or more system components. In this way repairs can be made before the component fails and the system experiences a fault condition.

Claim (Index 8):
The system of  claim 7 , wherein generating a set of load cycle operational characteristics for each of the series of load cycles comprises:\n generating the load cycle average RMS current by multiplying a data block average RMS current of each of one or more compressed data blocks in the load cycle times a data block time length of the compressed data block, resulting in a series of products, summing the products to a sum, then dividing the sum by a number of compressed data blocks in the load cycle.

Metadata:
- Claim Count in Document: 30.0
- Percentile: 93.0
- Lexical Diversity: 1.58537
- Patent Class: 702.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['13961185', '13961255', '12775729', '14045016', '14948542']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2285615170945757
- 35 USC 102 Novelty (BERT): 0.5487463670041846
- Combined Prediction Score: 0.2605800020855366
- Mean Citation Score: 262.85981400000003
- Max Citation Score: 422.56912
- Similarity Product: 324.0233004353905

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