# US 9,004,753 B1 · Infrared detection of defects in wind turbine blades > Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt - Number: US 9,004,753 B1 - Document ID: US9004753B1 - Status: Granted - Kind: B1 - Application number: 13/200,914 - Filed: 2011-10-03 - Granted: 2015-04-14 - Earliest claimed: 2010-10-01 - Assignees: Kurion, Inc. - Applicants: Joseph W. Maresca, Jr.; Wesley L. Bratton; Wilhelmina C. Leuschen; David A. Rohrig - Inventors: Joseph W. Maresca, Jr.; Wesley L. Bratton; Wilhelmina C. Leuschen; David A. Rohrig - Web page: https://patentgrep.com/patent/US9004753B1 ## CPC - G01J 5/0088: {in turbines} - G01N 25/72: Investigating presence of flaws - G01J 2005/0077: {Imaging} - G01J: MEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT, POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRARED, VISIBLE OR ULTRAVIOLET LIGHT; COLORIMETRY; RADIATION PYROMETRY (light sources F21, H01J, H01K, H05B; investigating properties of materials by optical means G01N) - G01N: INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES (measuring or testing apparatus or processes other than immunoassay, involving enzymes or microorganisms C12M, C12Q) ## Abstract A method and an apparatus for detecting defects in the composite materials of a wind turbine blade or similar type of structure using an infrared (IR) camera. The temperature of the wind turbine blade is changed in such a way as to produce IR intensity changes in the region of the defect that can be visually detected or detected using a computer and signal processing algorithms. The same approach will work on other composite structures such as those found on aircraft. ## Claims ### Claim 1 A method for detection of composite defects in wind turbine blades including a composite using IR images of the surface of the composite comprising the steps of: a. while the wind turbine blade is not in use, cooling a surface of the wind turbine blade located on an inside region of the blade; b. collecting an IR intensity image of the surface of the blade with an IR camera, while the wind turbine blade is statutory; and c. detecting defects in the composite on the surface of the wind turbine blade by identifying areas of the composite that are warmer or cooler than the surrounding background, where a background of the wind turbine blade not containing any defects is determined using a median filter as applied to the IR image to determine the background of the wind turbine blade at each pixel in the image, and where false regions that may occur at the corners of an IR image due to the median filter are identified as false defects because the size of the region of the IR image of the wind turbine blade grows as the size of the median filter increases. ### Claim 2 (depends on 1) The method of claim 1, where the inside region is cooled by blowing a fluid through an inside region of the wind turbine blade. ### Claim 3 (depends on 1) The method of claim 1, where a fluid on the inside region of the blade is cooled. ### Claim 4 (depends on 3) The method of claim 3, where said fluid is a gas. ### Claim 5 (depends on 3) The method of claim 3, where said fluid is an aerosol. ### Claim 6 (depends on 3) The method of claim 3, where said fluid is air. ### Claim 7 (depends on 1) The method of claim 1, where a fluid on the inside region of the blade is cooled below the surrounding ambient air temperature. ### Claim 8 (depends on 1) The method of claim 1, where a fluid on the inside region of the blade is cooled below the temperature of the composite material. ### Claim 9 (depends on 1) The method of claim 1, where the inside region is cooled by blowing a fluid that is cooler than the surrounding ambient air temperature through the inside region. ### Claim 10 (depends on 1) The method of claim 1, where said IR camera is an uncooled camera. ### Claim 11 (depends on 1) The method of claim 1, where said IR camera is a camera cooled to a temperature below the surrounding ambient air temperature. ### Claim 12 (depends on 1) The method of claim 1, where said median filter is applied to a region around each pixel in the IR image. ### Claim 13 (depends on 12) The method of claim 12, where said region is large enough to include the defect. ### Claim 14 (depends on 13) The method of claim 13, where said region is at least twice as big as the defect. ### Claim 15 (depends on 1) The method of claim 1, where the intensity of each pixel in the background of the wind turbine blade IR image is subtracted from the IR image containing defects to produce a noise cancelled image. ### Claim 16 (depends on 15) The method of claim 15, where a threshold is applied to said noise cancelled image to detect defects from regions of the IR image of the wind turbine blade that have higher or lower intensities. ### Claim 17 (depends on 16) The method of claim 16, where said regions of the IR image of the wind turbine blade must be a specific number of pixels to identify a defect. ### Claim 18 (depends on 1) The method of claim 1, where false regions that may occur at the corners of an IR image due to the median filter are identified as false defects because the intensity of the region of the IR image of the wind turbine blade grows as the size of the median filter increases. ### Claim 19 (depends on 1) The method of claim 1, where the inside region is cooled by blowing a fluid through an inside region of the wind turbine blade, where a background of the wind turbine blade not containing any defects is determined using a median filter as applied to the IR image to determine the background of the wind turbine blade at each pixel in the image, where the intensity of each pixel in the background of the wind turbine blade IR image is subtracted from the IR image containing defects to produce a noise cancelled image, and where the intensity of each pixel in the background of the wind turbine blade IR image is subtracted from the IR image containing defects to produce a noise cancelled image. ### Claim 20 (depends on 1) The method of claim 1, further comprising the step of heating an exterior surface of the wind turbine blade before cooling the inside region of the blade. ### Claim 21 (depends on 20) The method of claim 20, where the exterior surface of the wind turbine blade is heated with a silicon heating mat. ### Claim 22 (depends on 20) The method of claim 20, where the exterior surface of the wind turbine blade is heated to at least five degrees Fahrenheit above ambient temperature. ### Claim 23 (depends on 1) The method of claim 1, where the IR camera is cooled to at least twenty degrees Fahrenheit below ambient temperature. ### Claim 24 (depends on 1) The method of claim 1, where the IR image detects cracks in the exterior surface of the wind turbine blade. ### Claim 25 (depends on 1) The method of claim 1, where the IR image detects separation of layers of the composite material within on the exterior surface of the wind turbine blade. ### Claim 26 (depends on 1) The method of claim 1, where the IR image detects water intrusion into the composite material of the wind turbine blade. ### Claim 27 (depends on 1) The method of claim 1, where the IR image detects disbonding of the composite material of the wind turbine blade. ### Claim 28 A method for detection of composite defects in wind turbine blades including a composite using IR images of the surface of the composite comprising the steps of: a. while the wind turbine blade is not in use, cooling a surface of the wind turbine blade located on an inside region of the blade, where the inside region of the blade is cooled by blowing a fluid through an inside region of the wind turbine blade; b. collecting an IR intensity image of the surface of the blade with an IR camera, while the wind turbine blade is statutory; and c. detecting defects in the composite on the surface of the wind turbine blade by identifying areas of the composite that are warmer or cooler than the surrounding background, where the inside region is cooled by blowing a fluid through an inside region of the wind turbine blade, where a background of the wind turbine blade not containing any defects is determined using a median filter as applied to the IR image to determine the background of the wind turbine blade at each pixel in the image, and where false regions that may occur at the corners of an IR image due to the median filter are identified as false defects because the size of the region of the IR image of the wind turbine blade grows as the size of the median filter increases. ### Claim 29 (depends on 28) The method of claim 28, where false regions that may occur at the corners of an IR image due to the median filter are identified as false defects because the intensity of the region of the IR image of the wind turbine blade grows as the size of the median filter increases. ### Claim 30 A method for detection of composite defects in wind turbine blades using IR images of the surface of said composite comprising the steps of: a. changing the temperature of the surface of the wind turbine blade conductively; b. collecting an IR intensity image of the surface of the said blade with an IR camera; c. identifying the area in the image produced by said defect that is warmer or cooler than the surrounding background, where the background of the wind turbine blade not containing any defects is determined using a median filter as applied to the IR image to determine the background of the wind turbine blade at each pixel in the image, and where false regions that may occur at the corners of an IR image due to the median filter are identified as false defects because the size of the region of the IR image of the wind turbine blade grows as the size of the median filter increases. ### Claim 31 (depends on 30) The method of claim 30, where false regions that may occur at the corners of an IR image due to the median filter are identified as false defects because the intensity of the region of the IR image of the wind turbine blade grows as the size of the median filter increases. ### Claim 32 A method for detection of composite defects in wind turbine blades including a composite using IR images of the surface of the composite comprising the steps of: a. while the wind turbine blade is not in use, cooling a surface of the wind turbine blade located on an inside region of the blade; b. collecting an IR intensity image of the surface of the blade with an IR camera, while the wind turbine blade is statutory; and c. detecting defects in the composite on the surface of the wind turbine blade by identifying areas of the composite that are warmer or cooler than the surrounding background, and where the IR image obtained from said IR camera and any defects identified in said IR image can be located with respect to a physical location on the wind blade composite being inspected by identifying fiducials located on said wind blade in the IR image and based on the known pattern and location of these fiducials, transforming the coordinates of said IR image and said fiducials from the image to a coordinate system on said wind blade. ### Claim 33 (depends on 32) The method of claim 32, where said fiducials are electrical resistors. ### Claim 34 (depends on 33) The method of claim 33, where the electrical resistor is at least an 800 ohm resistor. ### Claim 35 (depends on 32) The method of claim 32, where said fiducials are any material with different thermal properties than the composite. ### Claim 36 (depends on 32) The method of claim 32, where the fiducials are mounted in a felt mat. ### Claim 37 (depends on 36) The method of claim 36, where said fiducials and said felt mat are attached to a more rigid but flexible membrane such as a rubber material. ### Claim 38 (depends on 32) The method of claim 32, where the fiducials are placed along the exterior surface of the wind turbine blade such that a first set of fiducials is placed substantially every twelve inches along the exterior surface of the wind turbine blade to indicate foot markers. ### Claim 39 (depends on 38) The method of claim 38, where a second set of fiducials is placed at substantially one inch increments along the exterior surface of the wind turbine blade to indicate inch markers. ### Claim 40 A method for detection of composite defects in wind turbine blades including a composite using IR images of the surface of the composite comprising the steps of: a. while the wind turbine blade is not in use, cooling a surface of the wind turbine blade located on an inside region of the blade; b. collecting an IR intensity image of the surface of the blade with an IR camera, while the wind turbine blade is statutory; and c. detecting defects in the composite on the surface of the wind turbine blade by identifying areas of the composite that are warmer or cooler than the surrounding background, where the inside region is cooled by blowing a fluid through an inside region of the wind turbine blade, and where the IR image obtained from said IR camera and any defects identified in said IR image can be located with respect to a physical location on the wind blade composite being inspected by identifying fiducials located on said wind blade in the IR image and based on the known pattern and location of these fiducials, transforming the coordinates of said IR image and said fiducials from the image to a coordinate system on said wind blade. ### Claim 41 (depends on 40) The method of claim 40, where said fiducials are electrical resistors. ### Claim 42 (depends on 40) The method of claim 40, where said fiducials are any material with different thermal properties than the composite. ### Claim 43 (depends on 40) The method of claim 40, where the fiducials are mounted in a felt mat. ### Claim 44 (depends on 43) The method of claim 43, where said fiducials and said felt mat are attached to a more rigid but flexible membrane such as a rubber material.