INSULATION DIAGNOSIS METHOD, INSULATION DIAGNOSIS SYSTEM, AND ROTATING ELECTRIC MACHINE

• US 20110241697A1
• Filed: 03/30/2011
• Published: 10/06/2011
• Est. Priority Date: 04/01/2010
• Status: Abandoned Application

• Current Assignee: Hitachi, Ltd.
• Original Assignee: Hitachi, Ltd.
• Inventors: Hagiwara, Shuya, Omatsu, Chie, Obata, Koji
• Application Number:
  US13/075,379
• Publication Number:
  US 20110241697A1
• Time in Patent Office: Days
• US Class Current: 324/551
• CPC Class Codes: G01R 31/1227 of components, parts or materials G01R31/1209, G01R31/1218, G01R31/18 take precedence; circuits therefor G01R31/14; testing vessels of electrodes G01R31/16
• CPC Class Codes: G01R 31/34 Testing dynamo-electric machines

Abstract

An insulation diagnosis method according to the present invention includes: measurement step through which a signal generated at a diagnosis target device is measured; detection step through which a frequency or a frequency band manifesting a maximum amplitude signal strength is detected from the signal having been measured through the measurement step; and identification step through which an insulation defect type pertaining to an insulation defect having occurred in the diagnosis target device is identified based upon the frequency or the frequency band manifesting the maximum amplitude signal strength having been detected through the detection step.

Claims

1. An insulation diagnosis method comprising:

a measurement step of measuring a signal generated at a diagnosis target device;

a detection step of detecting a frequency or a frequency band manifesting a maximum amplitude signal strength is detected from the signal having been measured through the measurement step; and

an identification step of identifying an insulation defect type pertaining to an insulation defect having occurred in the diagnosis target device based upon the frequency or the frequency band manifesting the maximum amplitude signal strength having been detected through the detection step.

2. An insulation diagnosis method according to claim 1, wherein:

in the detection step, a frequency spectrum of the signal having been measured through the measurement step is detected and a frequency manifesting a maximum amplitude signal strength on the frequency spectrum is detected.

3. An insulation diagnosis method according to claim 1, wherein:

in the detection step, the signal having been measured through the measurement step is filtered through a plurality of band pass filters bearing different frequency band characteristics and a frequency band manifesting a maximum amplitude signal strength is detected by comparing strengths of signals which have passed the plurality of band pass filters.

4. An insulation diagnosis method according to claim 1, wherein:

in the measurement step, signals are measured via a plurality of sensors bearing different frequency band characteristics; and

in the detection step, a frequency range corresponding to a signal indicating a maximum amplitude signal strength is detected by comparing strengths of the signals having been measured via the plurality of sensors through the measurement step.

5. An insulation diagnosis method according to claim 1, wherein:

in the measurement step, signals generated from the diagnosis target device are measured via a plurality of sensors bearing same characteristics; and

an estimation step is executed in order to estimate an insulation defect position based upon a strength ratio of strengths of the signals having been measured via the plurality of sensors bearing same characteristics.

6. An insulation diagnosis method according to claim 5, wherein:

the plurality of sensors comprise a fixed sensor assuming a fixed position relative to the diagnosis target device and a movable sensor assuming a variable position relative to the diagnosis target device; and

in the estimation step, the insulation defect position is estimated based upon a strength ratio of strengths of signals measured via the fixed sensor and the movable sensor.

7. An insulation diagnosis method according to claim 5, wherein:

in the measurement step, the strengths of the signals having been measured via the plurality of sensors bearing same characteristics are compared and a partial discharge signal attributable to an insulation defect and noise are separated from each other based upon comparison results.

8. An insulation diagnosis method according to claim 1, wherein:

in the measurement step, a partial discharge signal attributable to an insulation defect is extracted by taking a difference between the signal having been measured and noise having been measured in advance.

9. An insulation diagnosis method according to claim 1, wherein:

in the measurement step, signals generated from the measurement target device are measured via a first sensor and a second sensor that measure different types of signals and a signal detected simultaneously via the first sensor and the second sensor is extracted as a partial discharge signal attributable to an insulation defect.

10. An insulation diagnosis method according to claim 1, wherein:

in the measurement step, a signal component in the signal having been measured, which exceeds a preselected threshold value, is extracted as a partial discharge signal attributable to an insulation defect.

11. An insulation diagnosis method according to claim 1, wherein:

in the identification step, a wire-to-wire discharge defect, a void discharge defect or a surface discharge defect, occurring in a rotating electric machine designated as the diagnosis target device, is identified.

12. An insulation diagnosis method according to claim 11, wherein:

in the identification step, an insulation defect having occurred is identified as the wire-to-wire discharge defect if the frequency manifesting the maximum amplitude signal strength is in a range of 50 through 70 MHz, as the void discharge defect if the frequency manifesting the maximum amplitude signal strength is in a range of 2 through 20 MHz and as the surface discharge defect if the frequency manifesting the maximum amplitude signal strength is in a range of 30 through 50 MHz.

13. An insulation diagnosis method according to claim 11, wherein:

in the measurement step, a signal generated from the rotating electric machine is measured via a sensor installed at the rotating electric machine.

14. A rotating electric machine for which insulation diagnosis is executed by adopting an insulation diagnosis method according to claim 1.

15. An insulation diagnosis system, comprising:

a detection unit that detects a frequency or a frequency range manifesting a maximum amplitude signal strength based upon a signal provided by a measuring device that measures a signal generated from an insulation diagnosis target device; and

an identification unit that identifies an insulation defect type pertaining to an insulation defect having occurred in the diagnosis target device based upon the frequency or the frequency range manifesting the maximum amplitude signal strength having been detected by the detection unit.

16. An insulation diagnosis system according to claim 15, wherein:

the detection unit detects a frequency spectrum of the signal having been measured by the measuring device and detects a frequency manifesting a maximum amplitude signal strength on the frequency spectrum.

17. An insulation diagnosis system according to claim 15, wherein:

the detection unit filters the signal having been measured by the measuring device through a plurality of band pass filters bearing different frequency band characteristics and detects a frequency band manifesting a maximum amplitude signal strength.

18. An insulation diagnosis system according to claim 15, wherein:

the measuring device measures signals via a plurality of sensors bearing different frequency band characteristics; and

the detection unit detects a frequency range corresponding to a signal indicating a maximum amplitude signal strength among the signals having been measured via the plurality of sensors.