Acoustic condition monitoring method and system for electrical power components, in particular transformers

Patent metadata

Field	Value
Publication number	US-2021190849-A1
Application number	US-201917053294-A
Country	US
Kind code	A1
Filing date	May 7, 2019
Priority date	May 7, 2018
Publication date	Jun 24, 2021
Grant date	—

Abstract

A condition monitoring system and method for electrical power components, in particular a transformer. A partial discharge detector unit captures acoustic signals of the partial discharge by means of an A-sensor. A processing unit captures a frequency of the partial discharges detected by the A-type sensor and a histogram module determines a temporal profile of the frequency from the frequency signal and a time signal. An analysis unit monitors the temporal profile for a fall and/or rise, preferably by means of pattern recognition. A warning signal is triggered if an adjustable threshold is exceeded. An imminent failure of an electrical power component can therefore be detected in good time and warned of; the component can be automatically disconnected if appropriate.

First claim

1 . A condition monitoring system for monitoring at least one electrical power component, comprising:
a partial discharge detector configured to detect partial discharges from the at least one electrical power component and comprising at least one A-sensor for detecting acoustic signals of the partial discharges; a processing unit for processing the acoustic signals detected by the A-sensor, detecting an incidence rate of the partial discharges detected by the A-sensor, outputting an incidence rate signal, and determining a time characteristic of the incidence rate from the incidence rate signal and a time signal; and an analysis unit configured to monitor the time characteristic for at least one of fall and rise, and to trigger a warning signal when a settable threshold is exceeded.

2 . The condition monitoring system of claim 1 , wherein the analysis unit is configured to assess whether the time characteristic corresponds to at least one reference pattern.

3 . The condition monitoring system of claim 2 , wherein the at least one reference pattern is polyphasic.

4 . The condition monitoring system of claim 2 , wherein the reference pattern is automatically parameterized.

5 . The condition monitoring system of claim 1 , comprising an adaptation device configured to calibrate the analysis unit in respect of environmental noise.

6 . The condition monitoring system of claim 1 , wherein the analysis unit comprises a disturbance variable detector.

7 . The condition monitoring system of claim 1 , wherein the analysis unit is further configured to calculate a rate of rise of the incidence rate and, depending thereon, to trigger the warning signal.

8 . The condition monitoring system of claim 1 , wherein the threshold comprises a static or dynamic threshold value.

9 . The condition monitoring system of claim 1 , further comprising a switch-on lockout that interacts with at least one of the processing unit and the analysis unit in such a way that, during restarting, the monitoring of the partial discharges is blocked.

10 . The condition monitoring system of claim 1 , wherein a plurality of A-sensors is arranged spatially distributed on the at least one power component, wherein at least one of the A-sensors is arranged directly on the at least one electrical power component.

11 . The condition monitoring system of claim 1 , further comprising a locator for processing the A-sensor signals to determine location information relating to the partial discharge.

12 . The condition monitoring system of claim 11 , wherein the locator is configured to detect locational discrepancies of the partial discharges.

13 . The condition monitoring system of claim 1 , comprising a damage determination unit for determining an indicator of a degree of damage of the power component.

14 . A method for condition monitoring of electrical power components, in particular a transformer, for detecting partial discharges, comprising the following steps:
detecting acoustic signals using at least one A sensor and determining an incidence rate of the detected partial discharges; generating a time characteristic of the incidence rate on the basis of the incidence rate signal and a time signal; monitoring the time characteristic of the incidence rate for at least one of fall and rise; and triggering a warning signal when a threshold is exceeded by the at least one of fall and rise.

15 . (canceled)

16 . The condition monitoring system of claim 1 , wherein the at least one electrical power component comprises a transformer.

17 . The condition monitoring system of claim 3 , wherein the at least one reference pattern comprises a start phase, a main phase, and an end phase.

18 . The condition monitoring system of claim 4 , wherein the at least one reference pattern is automatically parameterized via automatic amplification control.

19 . The condition monitoring system of claim 18 , wherein the at least one reference pattern is polyphasic and is automatically parameterized individually for each phase.

20 . The condition monitoring system of claim 6 , wherein the disturbance variable detector is connected to an environmental noise sensor.

21 . The condition monitoring system of claim 13 , wherein the damage determination unit assesses intensity and location of the detected partial discharges.

22 . The condition monitoring system of claim 21 , wherein the damage determination unit applies a higher weighting to partial discharges with the same location.

Assignees

• Senvion Gmbh

Inventors

• Najafi Seyed Amir Mahmood

Classifications

• Y02E10/72

  Wind turbines with rotation axis in wind direction · CPC title

• G01R31/1209 Primary

  using acoustic measurements (acoustic measurements G01H3/00) · CPC title

• G01R31/62

  Testing of transformers · CPC title

• G01R31/1272 Primary

  of cable, line or wire insulation, e.g. using partial discharge measurements (locating faults in cables G01R31/083) · CPC title

• F05B2260/80

  Diagnostics · CPC title