System and methods for machine anomaly detection based on sound spectrogram images and neural networks
US11688415B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Sep 20, 2022 |
| Grant date | Jun 27, 2023 |
| Priority date | — |
| Expiry date | Sep 20, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/048
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A system and methods for machine anomaly and behavior classification is provided. An audio capture device may attach to a mechanical apparatus comprising a first component and a second component. The first component and second component may separately generate audible noise. The audio capture device may generate a signal in response audio caused by the vibrating diagram. The system may receive the signal generated by the microphone of the audio capture device. The system may determine, based on a machine learning model and the signal, an anomalous event associated with the first component, a second component, or a combination thereof. Alternatively, or in addition, the system may classify operation of the machine based on second machine learning model.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.