PATENT CLAIM ANALYSIS

Application Number: 15906702
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2019-08
Patent Classification: ["703", "002000"]

Abstract:
A system and methods to identify which signals are significant to an assessment of a complex machine system state in the presence of non-linearities and disjoint groupings of condition types. The system enables sub-grouping of signals corresponding to system sub-components or regions. Explanations of signal significance are derived to assist in causal analysis and operational feedback to the system is prescribed and implemented for the given condition and causality.

Claim (Index 1):
A control method for a machine system comprising sensors generating a plurality of time series signals, the method comprising:\n receiving a labeled point and a set of signals from which the labeled point was derived, each of the signals comprising at least one feature vector, each feature vector comprising one or more signal features, the feature vectors of a signal having a corresponding signal projection subspace; projecting a model for the machine system into each signal projection subspace of the set of signals, the model comprising a plurality of model condition points; projecting the labeled point into each signal projection subspace; constraining an analysis neighborhood for the labeled point to a set number of model condition points closest to the labeled point in the signal projection subspace; calculating a first ratio of (a) neighbors in the analysis neighborhood having a same label as the labeled point and (b) the set number; calculating a second ratio of (c) points in the model having a same label as the labeled point and (d) the set number; assigning a contribution of each signal to a machine system condition corresponding to the labeled point, based on a ratio of the first ratio and the second ratio, to form a sorted list of signals and contributions; and adapting the machine system's behavior based on the list.

Metadata:
- Claim Count in Document: 6.0
- Percentile: 88.0
- Lexical Diversity: 1.5
- Patent Class: 703.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['11362600', '15195873', '13561655', '13456542', '11846486']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2259459604945555
- 35 USC 102 Novelty (BERT): 0.4591562203113779
- Combined Prediction Score: 0.2492669864762378
- Mean Citation Score: 113.120328
- Max Citation Score: 117.68182
- Similarity Product: 88.59675772685647

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