PATENT CLAIM ANALYSIS

Application Number: 16045049
Application Type: Utility
Filing Date: 2018-07
Publication Date: 2019-03
Patent Classification: ["702", "182000"]

Abstract:
A wash optimization system and related methods are provided that increase the efficiency and the effectiveness of engine washes. A system comprising at least one processor receives sensor data representing one or more measured parameters of a turbine engine and determines at least one performance parameter based on the sensor data. The at least one performance parameter represents one or more particulate values associated with the turbine engine. The system generates a health state for the turbine engine based on the at least one performance parameter and generates a wash identifier based on the health state of the turbine engine.

Claim (Index 19):
A computing device, comprising:\n one or more storage devices comprising processor readable code; and one or more processors in communication with the one or more storage devices, the one or more processors execute the processor readable code to: receive a first set of one or more performance parameters based on engine sensor data prior to at least one wash event and a second set of one or more performance parameters based on engine sensor data subsequent to the at least one wash event, the first and second sets of performance parameters representing one or more particulate values associated with the turbine engine; determine a recovery parameter based on a difference between the first set of performance parameters and the second set of performance parameters; generate a contamination accumulation model based on the recovery parameter; and generate a wash identifier based on the contamination accumulation model.

Metadata:
- Claim Count in Document: 7.0
- Percentile: 95.0
- Lexical Diversity: 2.12245
- Patent Class: 702.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15472456', '15590694', '15629952', '15490575', '15478949']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.1892736794944999
- 35 USC 102 Novelty (BERT): 0.4914541479029355
- Combined Prediction Score: 0.2194917263353435
- Mean Citation Score: 166.863092
- Max Citation Score: 187.48994
- Similarity Product: 118.32558262886285

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

Dataset: test