PATENT CLAIM ANALYSIS

Application Number: 15993331
Application Type: Utility
Filing Date: 2018-05
Publication Date: 2019-04
Patent Classification: ["700", "280000"]

Abstract:
A method performed by a Building Management System (BMS) includes receiving a vibration dataset associated with a machine controlled by the BMS. The vibration dataset includes machine metadata, machine operating conditions, and one or more time waveforms. The method further includes assembling a feature vector comprising one or more features of the vibration dataset for input to a machine learning model. The machine learning model is associated with a component of the machine. The method further includes applying the feature vector to the machine learning model in order to generate a condition score for the component. The method further includes scheduling a maintenance event for the machine or changing a setpoint associated with the machine depending on the condition score.

Claim (Index 8):
The method of  claim 1 , wherein the machine metadata includes a machine type, a machine model, a gear ratio, or a location of the machine.

Metadata:
- Claim Count in Document: 47.0
- Percentile: 93.0
- Lexical Diversity: 2.20339
- Patent Class: 700.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15408405', '15593898', '15896633', '15481174', '15289942']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4560083188893811
- 35 USC 102 Novelty (BERT): 0.5116781309447277
- Combined Prediction Score: 0.4615753000949157
- Mean Citation Score: 245.083066
- Max Citation Score: 261.47025
- Similarity Product: 142.12817392650248

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

Dataset: test