Trigger for blade imaging based on a controller

Patent metadata

Field	Value
Publication number	US-9462183-B2
Application number	US-201213531658-A
Country	US
Kind code	B2
Filing date	Jun 25, 2012
Priority date	Sep 22, 2011
Publication date	Oct 4, 2016
Grant date	Oct 4, 2016

Abstract

A rotating rotor in a turbine has blades attached. At least one blade is a reference blade of which a reference position is determined by a Once-Per-Rotation sensor. A camera positioned at a viewing port takes a sequence of images of all the blades during a rotation at a trigger moment determined by a controller. The controller receives a signal indicating that the reference blade passes its reference point. The controller is provided with data about the number of blades, the position of the camera and a desired dwell of an image related to the blade. The controller calculates the trigger moments and generates trigger signals to the camera. The trigger moment is adjusted for changing rotor speed by extracting a blade feature from blade images. The camera records images that are labeled and stored as image data on a storage device.

First claim

The invention claimed is:

1. A method to determine a trigger moment for a controller controlled camera to record an image of a blade attached to a rotating rotor including a plurality of blades in a turbine, comprising:
the controller controlled camera that is located outside the turbine and pointed at a porthole that provides only a partial view of a surface of the blade rotating through a field of view of the porthole;
the turbine being operated in an offline condition, wherein the rotating rotor is driven by a motor;
the controller determining a first trigger moment for the camera to capture the blade attached to the rotating rotor based on a number of the plurality of blades, a preset dwell that determines a part of the blade that is to appear on the image, a rotating speed of the rotating rotor and a position of the camera outside the turbine, the rotor rotating with a non-uniform speed within a single period of rotation;
the camera recording and storing on a memory a first image of a first blade in the plurality of blades through the porthole in the turbine;
the camera recording and storing on the memory a second image of a second blade in the plurality of blades through the porthole in the turbine;
the controller registering the first and the second image based on a common feature in the first and second blades to determine a time shift; and
the controller calculating the trigger moment for the blade from the first trigger moment adjusted based on the time shift to capture the part of the blade in accordance with the preset dwell.

2. The method as claimed in claim 1 , further comprising:
the controller controlled camera recording an image of the blade based on a trigger signal on the trigger moment determined by the controller.

3. The method as claimed in claim 1 , wherein the common feature is extracted by using a feature extraction method from the group consisting of Canny edge detection, Harris corner detection, Harris-Affine interest point detection and SIFT.

4. The method of claim 1 , further comprising determining a position of a reference blade with a once-per-revolution (OPR) sensor.

5. The method of claim 2 , further comprising:
the controller determining the trigger signal at each of a plurality of adjusted trigger moments; and
the controller controlled camera recording at least a single image of each of the plurality of blades during a single rotation of the rotating rotor at the plurality of adjusted trigger moments.

6. The method of claim 5 , wherein each of the at least single image of each of the number of blades recorded during the single rotation of the rotating rotor is provided with a data label and is stored as an individually retrievable image on a data storage device.

7. The method of claim 1 , wherein the turbine is off-line and the rotating rotor is rotated by a motor.

8. The method of claim 1 , wherein the rotating rotor rotates with a rotating speed of less than 12 revolutions per minute.

9. The method of claim 1 , wherein the number of blades on the rotating rotor is less than 70.

10. The method of claim 1 , wherein the controller maintains an actual dwell for each image of the plurality of blades within a single rotation of the rotor that is at least 10% accurate compared to the preset dwell.

11. A controller to trigger a camera to record an image of a blade attached to a rotating rotor with a plurality of blades in a turbine, comprising:
a memory to store data;
a processor enabled to execute instructions to perform the steps:
determining a first trigger moment for the camera positioned outside the turbine to capture the blade attached to the rotating rotor through a porthole in the turbine, wherein the porthole allows only a partial view of a surface of the blade rotating through a field of view of the porthole, based on a number of the plurality of blades, a preset dwell that determines a part of the blade that is to appear on the image, a rotating speed of the rotating rotor and a position of the camera outside the turbine, the rotor rotating with a non-uniform speed within a single period of rotation;
the camera recording and storing on a memory a first image of a first blade in the plurality of blades through a porthole in the turbine;
the camera recording and storing on the memory a second image of a second blade in the plurality of blades through the porthole in the turbine;
the processor registering the first and the second image based on a common feature in the first and second blades to determine a time shift; and
the processor calculating the trigger moment for the blade from the first trigger moment adjusted based on the time shift to capture the part of the blade in accordance with the preset dwell.

12. The controller as claimed in claim 11 , further comprising:
the camera recording an image of the blade based on a trigger signal on the trigger moment.

13. The controller as claimed in claim 11 , wherein the common feature is extracted by using a feature extraction method from the group consisting of Canny edge detection, Harris corner detection, Harris-Affine interest point detection and SIFT.

14. The controller as claimed in claim 11 , further comprising determining a position of a reference blade with a once-per-revolution (OPR) sensor.

15. The controller as claimed in claim 12 , further comprising:
the controller determining the trigger signal at each of a plurality of adjusted trigger moments; and
the controller controlled camera recording at least a single image of each of the plurality of blades during a single rotation of the rotating rotor at the plurality of adjusted trigger moments.

16. The controller as claimed in claim 15 , wherein each of the at least single image of each of the number of blades recorded during the single rotation of the rotating rotor is provided with a data label and is stored as an individually retrievable image on a data storage device.

17. The controller as claimed in claim 11 , wherein the turbine is off-line and the rotating rotor is rotated by a motor.

18. The controller as claimed in claim 11 , wherein the rotating rotor rotates with a rotating speed of less than 12 revolutions per minute.

19. The controller as claimed in claim 11 , wherein the number of blades on the rotating rotor is less than 70.

20. The controller as claimed in claim 11 , wherein the processor maintains an actual dwell for each image of the plurality of blades within a single rotation of the rotor that is at least 10% accurate compared to the preset dwell.

Assignees

• Xie Binglong
• Genc Yakup
• Dierkes Frank
• Siemens Energy Inc

Inventors

• Xie Binglong
• Genc Yakup
• Dierkes Frank

Classifications

• H04N23/64 Primary

  Computer-aided capture of images, e.g. transfer from script file into camera, check of taken image quality, advice or proposal for image composition or decision on when to take image · CPC title

• G01N21/8806

  Specially adapted optical and illumination features · CPC title

• G01N2021/8838

  Stroboscopic illumination; synchronised illumination · CPC title

• G01N21/8851

  Scan or image signal processing specially adapted therefor, e.g. for scan signal adjustment, for detecting different kinds of defects, for compensating for structures, markings, edges (G01N21/8806 and G01N21/93 - G01N21/95692 take precedence; optical measurement of dimensions G01B11/00; optical scanning G02B26/10; image transformation G06T3/00; computerised image enhancement G06T5/00; image processing per se for flaw detection G06T7/0002) · CPC title

• G01N21/954

  Inspecting the inner surface of hollow bodies, e.g. bores · CPC title