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 7):
The computer-implemented method of  claim 1 , further comprising detecting whether the amount of stored sensed measurement data exceeds a threshold;\n if the amount of stored sensed measurement data exceeds the threshold, then run a supervised machine learning algorithm to generate predictive maintenance analytics data; and if the amount of stored sensed measurement data does not exceed the threshold, then run an unsupervised machine learning algorithm to generate predictive maintenance analytics data.

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): 0.4120316091042648
- 35 USC 102 Novelty (BERT): 0.4783486718786691
- Combined Prediction Score: 0.4186633153817052
- Mean Citation Score: 142.782944
- Max Citation Score: 154.15274
- Similarity Product: 100.35925341109872

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

Dataset: test