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 10):
The system of  claim 7 , wherein generating the set of load profile operational characteristics comprises:\n generating the load cycle stability index by subtracting the load cycle average RMS current from a stability metric, wherein the stability metric is calculated by taking a number of time blocks represented by one or more compressed data blocks in the load cycle and dividing by a total number of time 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): 0.2295750992753909
- 35 USC 102 Novelty (BERT): 0.5462700356207626
- Combined Prediction Score: 0.2612445929099281
- Mean Citation Score: 262.85981400000003
- Max Citation Score: 422.56912
- Similarity Product: 297.19266027694704

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