Arc fault detection method for photovoltaic system based on adaptive kernel function and instantaneous frequency estimation
US11489490B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Dec 29, 2018 |
| Grant date | Nov 1, 2022 |
| Priority date | — |
| Expiry date | Feb 14, 2040 |
Classification
- Technology area (CPC Y)Emerging Cross-Sectional Technologies
- CPC primaryY02E10/50
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
An arc fault detection method for a photovoltaic system based on an adaptive kernel function and instantaneous frequency estimation includes steps of: sampling signal xt in a time window length of TNCT and obtaining an iterative time-frequency diagram of xt by nonlinear chirplet transform; extracting detection variables based on frequency component in the selected iterative time-frequency diagram to determine a moment when spectrum energy increases; when the moment is found, obtaining a matrix distribution form of the xt in time-frequency domain obtained by the adaptive optimum kernel time-frequency representation, and processing the matrix with sum of squares in a time dimension to obtain a column vector; processing each selected frequency bands with integration operation in a frequency dimension to obtain multiple detection variable values as inputs of a well-trained Naive Bayes model.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.