Arc fault detection through mixed-signal machine learning and neural networks
US12348024B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Feb 7, 2023 |
| Grant date | Jul 1, 2025 |
| Priority date | — |
| Expiry date | Jul 21, 2043 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH02H3/50
- WIPO fieldElectrical machinery, apparatus, energy
- WIPO sectorElectrical engineering
Abstract
A circuit interrupting device including a line terminal, a wideband current sensor configured to measure a current flowing through the line terminal, a zero cross detection circuit configured to measure a voltage and frequency of the line terminal, and a microcontroller including an electronic processor. The microcontroller is configured to apply a digital filter to a line current measurement signal received from the wideband current sensor and estimate spectral density of the filtered line current measurement signal. The microcontroller is further configured to calculate an arcing characteristic based on the spectral density, determine whether an arc fault is present within the circuit interrupting device based on a comparison of the arcing characteristic to one or more thresholds, and activate an interrupting device when an arc fault is present.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.