Method and apparatus for monitoring wind turbine blades during operation

• US 9,194,843 B2
• Filed: 03/15/2013
• Issued: 11/24/2015
• Est. Priority Date: 03/15/2013
• Status: Active Grant

• Current Assignee: GE Infrastructure Technology, LLC (General Electric Company)
• Original Assignee: Digital Wind Systems Inc
• Inventors: Newman, John W.
• Primary Examiner(s): KWOK, HELEN C
• Application Number:
  US13/837,145
• Publication Number:
  US 20140260634A1
• Time in Patent Office: 984 Days
• Field of Search: 735/87, 736/45, 735/84, 735/93, 736/02, 73596-600, 735/83
• US Class Current: 1/1
• CPC Class Codes: F03D 17/00 Monitoring or testing of wind motors, e.g. diagnostics testing during commissioning of wind motors F03D13/30
• CPC Class Codes: G01N 29/22 Details , e.g. general constructional or apparatus details
• CPC Class Codes: Y02E 10/72 Wind turbines with rotation axis in wind direction

Abstract

A wind power turbine blade inspection system includes a sensor positioned on the blade root end bulkhead to receive airborne acoustic signals emanating from anomalies in rotating turbine blades during cyclic stress loading, a three axis accelerometer to determine the gravity vector and other sources of cyclic acceleration with respect to the acoustic signals and a signal analysis system configured to analyze the sensor and accelerometer signals to provide data for wind power asset management.

Claims

1. A method of detecting defects in a wind turbine blade, comprising steps of:

detecting, during motion of the wind turbine blade, a position, over time, of the wind turbine blade with respect to a gravity vector;

detecting, within an enclosed space of the wind turbine blade, acoustic information that is emitted from the wind turbine blade; and

analyzing the acoustic information in conjunction with the position, over time, of the wind turbine blade to identify a potential defect in the wind turbine blade.

2. A method of detecting defects in a wind turbine blade according to claim 1, wherein the step of detecting the position, over time, of the wind turbine blade is performed using an accelerometer.

3. A method of detecting defects in a wind turbine blade according to claim 2, wherein the accelerometer is a three axis accelerometer.

4. A method of detecting defects in a wind turbine blade according to claim 2, wherein the accelerometer is mounted on the wind turbine blade.

5. A method of detecting defects in a wind turbine blade according to claim 4, wherein the accelerometer is constructed and arranged to provide identification data that permits identification of the wind turbine blade on which the accelerometer is mounted.

6. A method of detecting defects in a wind turbine blade according to claim 1, further comprising a step of transmitting data related to the position, over time, of the wind turbine blade wirelessly.

7. A method of detecting defects in a wind turbine blade according to claim 1, wherein the step of detecting acoustic information is performed remotely from a remote distance.

8. A method of detecting defects in a wind turbine blade according to claim 1, wherein the step of analyzing acoustic information in conjunction with the motion position, over time, of the wind turbine blade is performed using a computer.

9. A method of detecting defects in a wind turbine blade according to claim 8, wherein the computer is positioned on the wind turbine blade and powered using a parasitic electrical generator that is also positioned on the wind turbine blade.

10. A method of detecting defects in a wind turbine blade according to claim 1, wherein the step of analyzing the acoustic information in conjunction with the position, over time, of the wind turbine blade comprises correlating the acoustic information with the position of the wind turbine blade at a specific time.

11. A method of detecting defects in a wind turbine blade according to claim 10, further comprising a step of obtaining time information from a remote source.

12. A method of detecting defects in a wind turbine blade according to claim 11, wherein the remote source is a GPS satellite.

13. A method of detecting defects in a wind turbine blade according to claim 1, further comprising steps of obtaining acoustic and position, over time information with respect to at least one additional wind turbine blade, and comparing information from the respective blades to identify an outlier blade.