IP Library › Granted Patent US 11,255,922
Granted Patent B2
US 11,255,922 · App. 16/996,960 · Granted Feb 22, 2022

Real-time detection of high-impedance faults

Inventor: Hen-Geul Yeh (Cypress, CA)
Assignee: The Government of the United States of America, as represented by the Secretary of the Navy
G01R31/58G01R19/1659H02H1/0007H02H7/22
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Quick Facts
Patent No.
US 11,255,922
App. No.
16/996,960
Granted
Feb 22, 2022
Kind
B2
Abstract

Real-time detection of high-impedance faults in a distribution circuit is described. The real-time detection of high-impedance faults includes two steps. First, adaptive soft denoising is employed to perform a filtering process on a healthy dataset, and to determine a threshold. This reduces the rate of false alarms. Second, faulty datasets are prefiltered via adaptive soft denoising, then the denoised signals are processed via discrete wavelet transform to perform high-impedance fault detection using the threshold.

Claims (50)

1. A method for real-time detection of high-impedance faults in a distribution circuit, comprising:

obtaining an input signal from a device connected to the distribution circuit;

filtering the input signal using discrete wavelet transform via a first orthogonal wavelet to generate a denoised signal;

determining a threshold having an upper bound and a lower bound;

decomposing the denoised signal using discrete wavelet transform via a second orthogonal wavelet to generate a decomposed signal;

synthesizing a detail signal based on the decomposed signal;

comparing the detail signal to the threshold; and

based on the comparing, generating a trip or no-trip decision for a high-impedance fault detection device.

2. The method of claim 1 , further comprising:

selecting a moving window length for the input signal.

3. The method of claim 1 , wherein the input signal comprises at least one of a current signal or a voltage signal.

4. The method of claim 1 , further comprising:

placing the input signal in an instrumentation appropriate format prior to filtering the input signal.

5. The method of claim 1 , wherein the first orthogonal wavelet comprises a first Daubechies wavelet, and the second orthogonal wavelet comprises a second Daubechies wavelet that is different from the first Daubechies wavelet.

6. The method of claim 1 , wherein the threshold is based on a healthy dataset without high-impedance faults during normal operation of the distribution circuit.

7. The method of claim 1 , wherein the generating a trip or no-trip decision for a high-impedance fault detection device comprises:

generating a trip decision indicating detection of a high-impedance fault when

the detail signal is higher than the upper bound of the threshold in a first moving time window, and the detail signal is lower than the lower bound of the threshold in a second consecutive moving time window, or

the detail signal is lower than the lower bound of the threshold in a first moving time window, and the detail signal is higher than the upper bound of the threshold in the second consecutive moving time window.

8. The method of claim 1 , wherein the generating the trip or no-trip decision for the high-impedance fault detection device comprises:

generating a no-trip decision indicating no detection of a high-impedance fault when the detail signal is within the upper bound and the lower bound of the threshold.

9. A system for real-time detection of high-impedance faults in a distribution circuit, comprising:

a signal sensor configured to obtain an input signal from the distribution circuit;

a filter configured to denoise the input signal using discrete wavelet transformation via a first orthogonal wavelet to generate a denoised signal;

a threshold determiner configured to determine a threshold having an upper bound and a lower bound;

a signal analyzer configured to decompose the denoised signal using discrete wavelet transform via a second orthogonal wavelet to generate a decomposed signal;

a signal synthesizer configured to synthesize a detail signal based on the decomposed signal; and

a detector configured to compare the detail signal to the threshold and generate a trip or no-trip decision for a high-impedance fault detection device.

10. The system of claim 9 , further comprising a window length selector for selecting a moving window length for the input signal.

11. The system of claim 9 , wherein the device comprises at least one of a voltage sensor or a current sensor.

12. The system of claim 9 , further comprising a control apparatus configured to place the input signal in an instrumentation appropriate format prior to filtering the input signal.

13. The system of claim 9 , wherein the first orthogonal wavelet comprises a first Daubechies wavelet, and the second orthogonal wavelet comprises a second Daubechies wavelet that is different from the first Daubechies wavelet.

14. The system of claim 9 , wherein the threshold is based on a healthy dataset without a high-impedance fault during normal operation of the distribution circuit.

15. The system of claim 9 , wherein the detector is further configured to generate a trip decision indicating detection of a high-impedance fault when

the detail signal is higher than the upper bound of the threshold in a first moving time window, and the detail signal is lower than the lower bound of the threshold in a second consecutive moving time window, or

the detail signal is lower than the lower bound of the threshold in a first moving time window, and the detail signal is higher than the higher bound of the threshold in a second consecutive moving time window.

16. The system of claim 9 , wherein the detector is further configured to generate a no-trip decision indicating no detection of a high-impedance fault when the detail signal is within the upper bound and the lower bound of the threshold.

17. A system, comprising:

a processor; and

a memory that stores computer program logic for execution by the processor, the computer program logic including:

a filter configured to denoise an input signal using discrete wavelet transformation via a first orthogonal wavelet to generate a denoised signal;

a threshold determiner configured to determine a threshold having an upper bound and a lower bound;

a signal analyzer configured to decompose the denoised signal using discrete wavelet transform via a second orthogonal wavelet to generate a decomposed signal;

a signal synthesizer configured to synthesize a detail signal based on the decomposed signal; and

a detector configured to compare the detail signal to the threshold and generate a trip or no-trip decision for a high-impedance fault detection device.

18. The system of claim 17 , wherein the first orthogonal wavelet comprises a first Daubechies wavelet, and the second orthogonal wavelet comprises a second Daubechies wavelet that is different from the first Daubechies wavelet.

19. The system of claim 17 , wherein the detector is further configured to generate a trip decision when

the detail signal is higher than the upper bound of the threshold in a first moving time window, and the detail signal is lower than the lower bound of the threshold in a second consecutive moving time window, or

the detail signal is lower than the lower bound of the threshold in a first moving time window, and the detail signal is higher than the upper bound of the threshold in the second consecutive moving time window.

20. The system of claim 17 , wherein the detector is further configured to generate a no-trip decision when detail signal is within the upper bound and the lower bound of the threshold.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Aug 19, 2020
From: YEH, HEN-GEUL
To: THE GOVERNMENT OF THE UNITED STATES, AS REPRESENTED BY THE SECRETARY OF THE NAVY
Reel/Frame 053534/0042 →
Continuity (2)
Provisional Application 62889074 · Aug 20, 2019
Related Publication 20210055357A1 · Feb 25, 2021
Cited By (1)
US 12,431,703