PATENT CLAIM ANALYSIS

Application Number: 15952654
Application Type: Utility
Filing Date: 2018-04
Publication Date: 2019-10
Patent Classification: ["700", "109000"]

Abstract:
A method of increasing reliability for a reactor effluent air cooler (REAC). The method includes providing a process facility computer communicatively coupled to at least one REAC including an air condenser with a plurality of field devices coupled thereto. The process facility computer includes a processor connected to a memory device storing a REAC predictive maintenance model. The REAC predictive maintenance model implements retrieving history data including at least one historical REAC value from the memory and receiving real-time data from the field devices including at least one real-time REAC value. A digital twin calculates a current reliability value for the REAC using the historical REAC data and the real-time REAC value. The method further includes comparing the current reliability value to a predetermined reliability value and generating an alert indicating that the REAC needs current maintenance whenever the current reliability value is less than the predetermined reliability value.

Claim (Index 12):
The system of  claim 8  wherein said history data includes at least one of:\n tube type data; \n replacement date data; \n inspection date data; \n ultrasonic inspection data; \n internal rotary inspection data; \n remote field eddy current inspection data; and \n fault mode data.

Metadata:
- Claim Count in Document: 17.0
- Percentile: 91.0
- Lexical Diversity: 2.21127
- Patent Class: 700.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['14336888', '14696402', '12242546', '12242552', '14684358']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3931599334640414
- 35 USC 102 Novelty (BERT): 0.5039087524422509
- Combined Prediction Score: 0.4042348153618624
- Mean Citation Score: 129.71407879999998
- Max Citation Score: 133.49777
- Similarity Product: 65.5234299207926

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 1
- Claim Label 112: 1
- Combined Label: 1
- Label 101 Adjusted: 0

Dataset: test