Method and system for detecting arc faults and flashes using wavelets
US-9329220-B2 · May 3, 2016 · US
US10790779B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-10790779-B2 |
| Application number | US-201816000694-A |
| Country | US |
| Kind code | B2 |
| Filing date | Jun 5, 2018 |
| Priority date | Jun 5, 2017 |
| Publication date | Sep 29, 2020 |
| Grant date | Sep 29, 2020 |
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In some examples, a system comprises a first component; a second component configured to receive signals from the first component via one or more wires; and a controller. In at least some examples, the controller is coupled to the one or more wires and is trained with a classification model to distinguish between signals indicating arc events and signals not indicating arc events. In at least some example, the controller is further configured to: receive the signals; extract features that are at least partially related to the received signals; classify the extracted features using the classification model; determine an occurrence of the arc event based on the classification; and provide an output signal indicating an arc event.
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What is claimed is: 1. A system for detecting arc events, the system comprising: an arc fault detector configured to receive signals from a photovoltaic (PV) module via one or more wires; and wherein the arc fault detector comprises a controller coupled to the one or more wires and trained with a classification model to distinguish between signals indicating arc events from the PV module and signals not indicating arc events from the PV module, the controller further configured to: receive the signals; extract a plurality of features from the received signals, wherein the plurality of extracted features include a current and a voltage; classify the extracted features using the classification model; determine an occurrence of the arc event based on the classification; and provide an output signal indicating an arc event; wherein the classification system is based on a separating hyperplane is according to the following equation: ω T x+b =0, wherein ω is an n-dimensional vector and b is the intercept term, and wherein ω and b determine the position of the separating hyperplane, and wherein a functional margin of the hyperplane is according to the following equation; y i (ω T x i +b )≥1, wherein y i are labels for the classification system, and wherein x i are n-dimensional inputs, wherein an optimum hyperplane can be found according to the following equation; min ω , b 1 2 ω 2 + C ∑ i = 1 m ξ i , wherein C is an error penalty, and wherein ξ i is a slack variable, and wherein a Lagrangian is according to the following equation; 1 2 ω T ω + C ∑ i = 1 m ξ i - ∑ i = 1 m α i [ y i ( x T ω + b ) - 1 + ξ i ] - ∑ i = 1 m r i ξ i , wherein α i and r i are Lagrange multipliers, and wherein a final weight equation to solve for the separating hyperplane is according to the following equation; ∑ i = 1 m α i - 1 2 ∑ y i y j α i α j 〈 x i , x j 〉 .
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