Intelligent soft measurement method for wind speed in front of wind turbine
US11789034B1 · kind B1 · utility
Assignees
Inventors
Key dates
| Filing date | Mar 24, 2023 |
| Grant date | Oct 17, 2023 |
| Priority date | — |
| Expiry date | Mar 24, 2043 |
Classification
- Technology area (CPC Y)Emerging Cross-Sectional Technologies
- CPC primaryY02E10/72
- WIPO fieldMeasurement
- WIPO sectorInstruments
Abstract
The present invention discloses an intelligent soft measurement method for wind speed in front of a wind turbine. The method includes: first using laser radar data as a data sample, judging delay orders between input and output by using an AIC or BIC criterion, defining a dynamic difference regression vector according to the delay orders, dividing hyperplanes according to a clustering result by using a machine learning algorithm, and performing dynamic differential input/output nonlinear mapping modeling in a global scope and sub-scopes by using an artificial intelligence dynamic regression algorithm, respectively. Empirical mode decomposition and power spectral density analysis are performed on the wind speed in front of a laser radar measuring machine and the wind speed in front of a soft measurement machine, thereby further verifying the estimation performance of intelligent soft measurement for the wind speed in front of a wind turbine.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.