PATENT CLAIM ANALYSIS

Application Number: 15923293
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2018-10
Patent Classification: ["381", "071300"]

Abstract:
A method to suppress noise emanating from an electrical power generator including the steps of: receiving sound emanating from the electrical power generator, wherein the sound is received in a duct for cooling air having passed through the generator; analyzing the received sound and, based on the analysis, generating a sound signal which represents a destructive sound to the received sound, and broadcasting a destructive sound into the duct, wherein the destructive sound corresponds to the sound signal.

Claim (Index 16):
A noise suppression system configured for an industrial electrical power generator, the system comprising:\n in each of a plurality of cells of a ventilation duct, a microphone is in the cell and positioned near the generator; a speaker in each of the cells; a controller configured, for each cell, to receive a sound signal from the microphone and convert the sound signal to a destructive sound signal by applying an algorithm to the sound signal from the microphone and transmit the destructive signal to the speaker for the corresponding cell, wherein the destructive signal is configured to destructively interfere with sound received by the microphone and propagating through the cell.

Metadata:
- Claim Count in Document: 22.0
- Percentile: 90.0
- Lexical Diversity: 1.86957
- Patent Class: 381.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['14424583', '12449068', '11606010', '11606019', '12250982']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6915558676686111
- 35 USC 102 Novelty (BERT): 0.4872013334878031
- Combined Prediction Score: 0.6711204142505304
- Mean Citation Score: 196.288092
- Max Citation Score: 218.68292
- Similarity Product: 162.59630247325418

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

Dataset: test