Method for predicting clamp force using convolutional neural network
US11530957B2 · kind B2 · utility
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Key dates
| Filing date | Nov 21, 2019 |
| Grant date | Dec 20, 2022 |
| Priority date | — |
| Expiry date | Feb 9, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V10/82
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method for predicting a clamp force using a convolutional neural network includes: generating a cepstrum image from a signal processing analysis apparatus; extracting a characteristic image by multiplying a predetermined weight value to pixels of the generated cepstrum image through artificial intelligence learning; extracting, as a representative image, the largest pixel from the extracted characteristic image; synthesizing an image by synthesizing the extracted representative image information; and predicting a clamp force by comparing the synthesized image with a predetermined value.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.