Devices and methods for arc fault detection
US-2016341782-A1 · Nov 24, 2016 · US
US11609259B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-11609259-B2 |
| Application number | US-202117363724-A |
| Country | US |
| Kind code | B2 |
| Filing date | Jun 30, 2021 |
| Priority date | Jun 30, 2020 |
| Publication date | Mar 21, 2023 |
| Grant date | Mar 21, 2023 |
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The present disclosure provides a method for detecting an electrical discharge in an electrical apparatus. The method includes sensing an electromagnetic wave using an electrical sensor and generating an electric signal for a predetermined time period, sensing an acoustic wave using an acoustic sensor and generating an acoustic signal for the predetermined time period. The acoustic sensor is associated with at least one compartment of the electrical apparatus. Electrical data is generated based on a quasi-periodic characteristic of electric peak sequences of the electrical signal. Acoustic data is generated based on a quasi-periodic characteristic of acoustic peak sequences of the acoustic signal, wherein the electrical data is combined with the acoustic data to provide an operation status of the at least one compartment.
Opening claim text (preview).
The invention claimed is: 1. A method for detecting an electrical discharge in an electrical apparatus, the method comprising: sensing an electromagnetic wave using an electrical sensor and generating an electric signal for a predetermined time period; sensing an acoustic wave using an acoustic sensor and generating an acoustic signal for the predetermined time period, said acoustic sensor being associated with at least one compartment of the electrical apparatus; generating electrical data based on a quasi-periodic characteristic of electric peak sequences of said electrical signal; generating acoustic data based on a quasi-periodic characteristic of acoustic peak sequences of said acoustic signal; wherein the electrical data is combined with the acoustic data to provide an operation status of the at least one compartment, wherein the electrical signal is generated only in at least one time period interval for the predetermined time period, wherein the acoustic signal is generated only in at least one time period interval for the predetermined time period, wherein the at least one time period interval of the electrical signal and the at least one time period interval of the acoustic signal are independent from each other in time. 2. The method of claim 1 , wherein the acoustic signal is measured by at least a first acoustic sensor and a second acoustic sensor, wherein the first acoustic sensor measures a first acoustic signal and the second acoustic sensor measures a second acoustic signal, and wherein the first acoustic sensor is associated with a first compartment of the electrical apparatus and the second acoustic sensor is associated with a second compartment of the electrical apparatus. 3. The method of claim 1 , wherein the predetermined time period is a continuous time period. 4. The method of claim 1 , wherein said generating acoustic data further comprises determining a frequency of the acoustic peak sequences of the acoustic signal using parameter maximization. 5. The method of claim 1 , wherein generating the acoustic data further comprises determining an amplitude of the acoustic peak sequences of the acoustic signal at multiples of a grid frequency by integration over a frequency window. 6. A detection system for detecting an electrical discharge in an electrical apparatus, the system comprising: an electrical sensor configured to measure an electromagnetic wave and generate an electromagnetic signal; an acoustic sensor configured to measure an acoustic wave and generate an acoustic signal, said acoustic sensor being associated with at least one compartment of the electrical apparatus; and a signal processing device configured to generate electrical data based on a quasi-periodic characteristic of electrical peak sequences of said electrical signal and configured to generating acoustic data based on a quasi-periodic characteristic of acoustic peak sequences of said acoustic signal; wherein the signal processing device is configured to combine the electrical data with the acoustic data to provide an operation status of the at least one compartment, wherein the electrical signal is generated only in at least one time period interval for the predetermined time period, wherein the acoustic signal is generated only in at least one time period interval for the predetermined time period, wherein the at least one time period interval of the electrical signal and the at least one time period interval of the acoustic signal are independent from each other in time. 7. The detection system of claim 6 , further comprising at least a first acoustic sensor and a second acoustic sensor, wherein the first acoustic sensor is configured to measure a first acoustic signal and the second acoustic sensor is configured to measure a second acoustic signal, wherein the first acoustic sensor is associated with a first compartment of the electrical apparatus, and wherein the second acoustic sensor is associated with a second compartment of the electrical apparatus. 8. The detection system of claim 6 , wherein the acoustic sensor is a microphone. 9. The detection system of claim 6 , wherein the electrical apparatus comprising more than two compartments assigned to two or more acoustic sensors. 10. The detection system of claim 6 , wherein the electrical apparatus is a medium voltage or high-voltage electrical switchgear. 11. The detection system of claim 8 , wherein the acoustic sensor is a MEMS microphone. 12. A detection system for performing the method for detecting an electrical discharge in an electrical apparatus of claim 1 , the system comprising: the electrical sensor configured to measure an electromagnetic wave and generate an electromagnetic signal; the acoustic sensor configured to measure an acoustic wave and generate an acoustic signal, said acoustic sensor being associated with at least one compartment of the electrical apparatus; and a signal processing device configured to generate electrical data based on a quasi-periodic characteristic of electrical peak sequences of said electrical signal and configured to generating acoustic data based on a quasi-periodic characteristic of acoustic peak sequences of said acoustic signal; wherein the signal processing device is configured to combine the electrical data with the acoustic data to provide an operation status of the at least one compartment, wherein the electrical signal is generated only in at least one time period interval for the predetermined time period, wherein the acoustic signal is generated only in at least one time period interval for the predetermined time period, wherein the at least one time period interval of the electrical signal and the at least one time period interval of the acoustic signal are independent from each other in time.
using acoustic measurements (acoustic measurements G01H3/00) · CPC title
Testing dielectric strength or breakdown voltage {; Testing or monitoring effectiveness or level of insulation, e.g. of a cable or of an apparatus, for example using partial discharge measurements; Electrostatic testing (G01R31/08, G01R31/327 and G01R31/72 take precedence; measuring in plasmas G01R19/0061; measuring dielectric constants G01R27/2617; ESD, EMC or EMP testing of circuits G01R31/002)} · CPC title
of cable, line or wire insulation, e.g. using partial discharge measurements (locating faults in cables G01R31/083) · CPC title
Measuring peak values {or amplitude or envelope} of AC or of pulses · CPC title
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