Electrical substation fault monitoring and diagnostics
View Patent ↗A fault monitoring system for an electrical substation includes one or more arrays of acoustic sensors placed around a substation boundary and configured to measure acoustic pressure waves. A processing circuitry in the fault monitoring system localizes and identifies faults in the substation and includes a sound source localization module to identify an area of a sound source based on the acoustic pressure waves. A beamforming module of processing circuitry provides enhanced acoustic pressure waves by eliminating background noise and interfering noise from the acoustic pressure waves and a component signature classification module in the processing circuitry compares enhanced acoustic pressure waves with component signatures to classify the acoustic pressure waves into various events to detect faults in the electrical substation.
1. A fault monitoring system for an electrical substation comprising:
a plurality of acoustic sensors placed around a substation area boundary and configured to measure acoustic pressure waves;
processing circuitry configured to localize and identify faults in the substation, wherein the processing circuitry comprises:
a sound source localization module to identify an area of a sound source based on the acoustic pressure waves;
a beamforming module to provide enhanced acoustic pressure waves by eliminating at least one of a background noise and an interfering noise from the acoustic pressure waves; and
a component signature classification module to compare enhanced acoustic pressure waves with component signatures to classify the acoustic pressure waves into various events to detect faults in the electrical substation.
2. The fault monitoring system of claim 1 , wherein the acoustic sensors comprise microphones.
3. The fault monitoring system of claim 1 , wherein the substation boundary comprises an overall substation area boundary or the boundary formed by substation assets.
4. The fault monitoring system of claim 1 , wherein the sound source localization module identifies the area of the sound source based on a time difference of arrival of a common acoustic pressure wave at at least two acoustic sensors.
5. The fault monitoring system of claim 1 , wherein the sound source localization module comprises one of a subspace based adaptive localization algorithm, or a triangulation algorithm to identify the area of the sound source.
6. The fault monitoring system of claim 1 , wherein the interfering noise comprises acoustic pressure waves from areas other than the area of the sound source.
7. The fault monitoring system of claim 1 , wherein the beamforming module comprises one of a delay- and sum beamforming algorithm, Linearly-Constrained Minimum-Variance (LCMV) beamforming algorithm, Time-Domain Generalized Sidelobe Canceller (TD-GSC) algorithm, Frequency-Domain Generalized Sidelobe Canceller (FD-GSC) algorithm, or Robust Generalized Sidelobe Canceller (R-GSC) algorithm.
8. The fault monitoring system of claim 1 , wherein the component signature classification module classifies acoustics pressure wave signatures into normal and abnormal events.
9. The fault monitoring system of claim 8 , wherein the component signatures comprise wave shapes of normal and abnormal events.
10. The fault monitoring system of claim 1 , wherein the component signatures may be stored in a database.
11. The fault monitoring system of claim 10 , wherein the component signatures comprise predetermined event signatures, the predetermined event signatures being based on prior investigation and analysis of individual apparatuses in the electrical substation.
12. The fault monitoring system of claim 10 , wherein the component signatures are augmented in real time when new types of faults are detected.
13. The fault monitoring system of claim 1 , wherein the sound source localization module identifies the area of the sound source based on spatial information and spectral contents of acoustic sensors signals.
14. The fault monitoring system of claim 1 further comprises individual sensors on individual apparatuses for enhancing detection of faults.
15. The fault monitoring system of claim 1 further comprising an alerting device to alert a remote monitoring center when a specific fault occurs.
16. The fault monitoring system of claim 1 wherein, in comparing the enhanced acoustic pressure waves with component signatures, the component signature classification module compares a frequency of the enhanced acoustic pressure waves with component signatures.
17. A method for monitoring faults in an electrical substation comprising:
acquiring acoustic pressure waves from acoustic sensor arrays placed around a substation area boundary;
localizing an area of a sound source based on a localization algorithm;
removing at least one of a background noise and an interfering noise from the acoustic pressure waves and generating enhanced acoustic pressure waves based on a beamforming algorithm;
comparing at least one of a frequency and a waveform shape of the enhanced acoustic pressure waves with component signatures; and
classifying enhanced acoustic pressure waves into various events based on the comparison of the enhanced acoustic pressure waves with the component signatures, so as to provide for a fault detection in the electrical substation.
18. The method of claim 17 , wherein the substation boundary comprises an overall substation area boundary or the boundary formed by substation assets.
19. The method of claim 17 , wherein the localization algorithm is based on a time difference of arrival of a common acoustic pressure wave at, at least two acoustic sensors.
20. The method of claim 17 , wherein the localization algorithm comprises one of a subspace based adaptive localization algorithm, or a triangulation algorithm.
21. The method of claim 17 , wherein the beamforming algorithm comprises one of a delay- and sum beamforming algorithm, Linearly-Constrained Minimum-Variance (LCMV) beamforming algorithm, Time-Domain Generalized Sidelobe Canceller (TD-GSC) algorithm, Frequency-Domain Generalized Sidelobe Canceller (FD-GSC) algorithm, Robust Generalized Sidelobe Canceller (R-GSC) algorithm.
22. The method of claim 17 , wherein the component signatures comprise wave shapes of normal and abnormal events.
23. A fault monitoring system for an electrical substation comprising:
a plurality of acoustic sensors placed around a substation and configured to measure acoustic pressure waves;
processing circuitry configured to localize and identify faults in the substation, wherein the processing circuitry comprises:
a sound source localization module to identify an area of a sound source based on the acoustic pressure waves;
a beamforming module to provide enhanced acoustic pressure waves by eliminating one or more of a background noise and an interfering noise from the acoustic pressure waves; and
a component signature classification module to compare the enhanced acoustic pressure waves with component signatures to classify the acoustic pressure waves into various events to detect faults in the electrical substation;
wherein, in comparing the enhanced acoustic pressure waves with component signatures, the component signature classification module compares a frequency of the enhanced acoustic pressure waves with component signatures.
24. The fault monitoring system of claim 23 wherein, in comparing the frequency of the enhanced acoustic pressure waves with component signatures, the component signature classification module compares an instantaneous frequency of the enhanced acoustic pressure waves with component signatures.