PATENT CLAIM ANALYSIS

Application Number: 16388119
Application Type: Utility
Filing Date: 2019-04
Publication Date: 2019-08
Patent Classification: ["700", "110000"]

Abstract:
Machines can be controlled using advanced control systems that implement an automated version of singular spectrum analysis (SSA). For example, a control system can perform SSA on a time series having one or more time-dependent variables by: generating a trajectory matrix from the time series, performing singular value decomposition on the trajectory matrix to determine elementary matrices; and categorizing the elementary matrices into groups. The elementary matrices can be automatically categorized into the groups by: generating one or more w-correlation matrices based on spectral components associated with the time series, determining w-correlation values based on the one or more w-correlation matrices; categorizing the w-correlation values into a predefined number of w-correlation sets, and forming the groups based on the predefined number of w-correlation sets. The control system can then generate a predictive forecast using the groups and control operation of a machine using the predictive forecast.

Claim (Index 9):
The method of  claim 1 , wherein the time series is associated with a machine, and further comprising:\n predicting an event related to the machine using the predictive forecast; and modifying an operational setting of the machine in response to predicting the event.

Metadata:
- Claim Count in Document: 1.0
- Percentile: 100.0
- Lexical Diversity: 2.10526
- Patent Class: 700.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15883285', '15997371', '16233302', '16379470', '15788238']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3952053903119933
- 35 USC 102 Novelty (BERT): 0.5571931130148919
- Combined Prediction Score: 0.4114041625822832
- Mean Citation Score: 232.417014
- Max Citation Score: 458.8697
- Similarity Product: 358.5718994124592

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