PATENT CLAIM ANALYSIS

Application Number: 16004861
Application Type: Utility
Filing Date: 2018-06
Publication Date: 2019-12
Patent Classification: ["701", "031900"]

Abstract:
System and method are disclosed for data collection from landing gear components and providing predictive analytics. Methods comprise sending a signal to excite wheel assembly sensor located on a vehicle. In response to sending the signal excited the sensors, receiving a return signal encoded with measurement data. The measurement data is then stored on an RFID card, on an edge node and/or on a remote server. Upon receipt of the measurement data by the remote server, the remote server analyzes the data to generate predictive maintenance analytics data.

Claim (Index 15):
A non-transitory computer-readable medium for receiving and storing measurement data from a wheel assembly, comprising:\n sending, by an edge node, a signal to one or more sensors associated with a wheel assembly the signal exciting the one or more sensors and causing the one or more sensors to perform measurements on respective wheel assembly components of the one or more sensors; receiving, by the edge node, a return signal from the one or more sensors, the return signal encoded with the measurement data sensed by the one or more sensors; and storing, the sensed measurement data on a memory storage device located on the wheel assembly, a memory housed in the edge node, and/or on a remote server.

Metadata:
- Claim Count in Document: 44.0
- Percentile: 94.0
- Lexical Diversity: 1.62712
- Patent Class: 701.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['10965083', '11082739', '12344139', '11208869', '14696402']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4090901671117104
- 35 USC 102 Novelty (BERT): 0.4897397872396656
- Combined Prediction Score: 0.417155129124506
- Mean Citation Score: 142.782944
- Max Citation Score: 154.15274
- Similarity Product: 89.96870966458559

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

Dataset: test