Methods and devices for constucting multi-dimensional coupled vibration identification model for roll system of strip mill
US12282835B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Dec 12, 2024 |
| Grant date | Apr 22, 2025 |
| Priority date | — |
| Expiry date | Dec 12, 2044 |
Classification
- Technology area (CPC Y)Emerging Cross-Sectional Technologies
- CPC primaryY02P90/30
- WIPO fieldMachine tools
- WIPO sectorMechanical engineering
Abstract
Embodiments of the present disclosure provides a method and device for constructing a multi-dimensional coupled vibration identification model for a roll system of a strip mill, the method comprising: performing preprocessing, signal decomposition, and reconstruction of the multi-dimensional data for the roll system of the strip mill monitored through technical monitoring by multiple sensors during a working process of the strip mill, and performing feature extraction of the reconstructed data using a wavelet packet energy approach; obtaining an initial multi-dimensional coupled vibration feature local identification model for the roll system of the strip mill based on Support Vector Machine (SVM) by using a Gaussian radial basis function as a kernel function of the SVM model; and training the initial multi-dimensional coupled vibration feature local identification model for the roll system of the strip mill using a multi-source heterogeneous information fusion approach based on the feature vector to obtain the multi-dimensional coupled feature identification model for the roll system of the strip mill.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.