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 19):
A method performed by a Building Management System (BMS) comprising:\n receiving a vibration dataset associated with a machine controlled by the BMS, the vibration dataset including machine metadata, machine operating conditions, and one or more time waveforms; assembling a feature vector for each of a plurality of machine learning models, wherein each of the machine learning models is associated with a component of the machine, and wherein each of the feature vectors includes one or more features of the vibration dataset; applying the feature vectors to the machine learning models in order to generate a condition score for each of the components; evaluating the condition score for each of the components in order to generate an aggregate condition score associated with the machine; and scheduling a maintenance event for the machine or changing a setpoint associated with the machine depending on the component condition scores or the aggregate condition score.

Metadata:
- Claim Count in Document: 47.0
- Percentile: 93.0
- Lexical Diversity: 2.20339
- Patent Class: 700.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15408405', '15593898', '15896633', '15481174', '15289942']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4291577059187126
- 35 USC 102 Novelty (BERT): 0.4974591235504625
- Combined Prediction Score: 0.4359878476818876
- Mean Citation Score: 245.083066
- Max Citation Score: 261.47025
- Similarity Product: 178.4627354372442

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