US 2025/0053781 A1 · CONVOLUTIONAL NEURAL NETWORK MODEL-BASED ARC FAULT DETECTION

Abstract

An apparatus obtains an input signal representative of a current passing through a first circuit and applies the input signal to one or more input nodes of a second circuit configured according to a convolutional neural network model. The apparatus drives one or more output nodes of the second circuit according to a detection by the convolutional neural network model of an arc fault in the current passing through the first circuit. The one or more output nodes are driven to either a first value indicative of an absence of the detection of the arc fault in the current passing through the first circuit, or a second value indicative of the detection of the arc fault in the current passing through the first circuit. A switch through which the current passes remains closed in response to the first value and opens in response to the second value.

Claims20

Dependent claims

An apparatus, comprising:

one or more memories;
and
one or more processors coupled to the one or more memories, the one or more processors being configured to, individually or collectively, based at least in part on information stored in the one or more memories:
obtain an input signal representative of a current passing through a first circuit,
apply the input signal to one or more input nodes of a second circuit, different from the first circuit, and configured according to a convolutional neural network model, and
drive one or more output nodes of the second circuit according to a detection by the convolutional neural network model of an arc fault in the current passing through the first circuit, the one or more output nodes driven to:
a first value indicative of an absence of the detection of the arc fault in the current passing through the first circuit, or
a second value indicative of the detection of the arc fault in the current passing through the first circuit.

5 more elements

A method at an apparatus, comprising:

obtaining an input signal representative of a current passing through a first circuit;
applying the input signal to one or more input nodes of a second circuit, different from the first circuit, and configured according to a convolutional neural network model;
and
driving one or more output nodes of the second circuit according to a detection by the convolutional neural network model of an arc fault in the current passing through the first circuit, the one or more output nodes driven to:
a first value indicative of an absence of the detection of the arc fault in the current passing through the first circuit, or
a second value indicative of the detection of the arc fault in the current passing through the first circuit.

3 more elements

Dependencies are inferred from the claim text.

Convolutional neural network model-based arc fault detection

Life of this patent

Convolutional neural network model-based arc fault detection

Life of this patent

Abstract

Claims20