PATENT CLAIM ANALYSIS

Application Number: 15880979
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2018-10
Patent Classification: ["714", "002000"]

Abstract:
A method, computer program product, and a system is provided for power plant system fault diagnosis. The method includes detecting, using an invariant model, a fault event based on a broken pair-wise correlation. The method also includes constructing a fault signature based on the fault event. The method further includes generating a feature vector in a feature subspace for the fault signature, wherein said feature vector includes at least one status of at least one system component during the fault event. The method additionally includes determining a corrective action correlated to the fault signature, from among a plurality of candidate corrective actions associated with the one or more historical representative signature, based on a Jaccard similarity using the feature vector in the feature subspace. The method also includes initiating the corrective action on a hardware device to mitigate expected harm.

Claim (Index 20):
The power plant fault diagnosis system of  claim 19 , wherein the generating the feature vector further includes mapping the fault signature feature vectors and the one or more historical representative signature feature vectors in the feature subspace based on informative broken evidence.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 86.0
- Lexical Diversity: 2.06757
- Patent Class: 714.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15490499', '15661625', '15605427', '14172928', '15623409']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2670632324208593
- 35 USC 102 Novelty (BERT): 0.551499103655463
- Combined Prediction Score: 0.2955068195443197
- Mean Citation Score: 223.88702
- Max Citation Score: 454.98148
- Similarity Product: 250.18430681136607

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