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Fault detection method for motor vehicle axle box end cover bolt loss based on image processing

An axle box end cap and image processing technology, which is applied in image data processing, image analysis, image enhancement, etc., can solve the problems of low efficiency of manual inspection

Active Publication Date: 2021-05-07
HARBIN KEJIA GENERAL MECHANICAL & ELECTRICAL CO LTD
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Problems solved by technology

[0003] The purpose of the present invention is to propose a fault detection method based on image processing for the missing bolts of the axle box end cover in view of the low efficiency of manual detection in the prior art

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  • Fault detection method for motor vehicle axle box end cover bolt loss based on image processing
  • Fault detection method for motor vehicle axle box end cover bolt loss based on image processing
  • Fault detection method for motor vehicle axle box end cover bolt loss based on image processing

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specific Embodiment approach 1

[0038] Specific implementation mode one: refer to figure 1 This embodiment is specifically described. The image processing-based method for detecting the missing bolts of the axle box end cover of the motor vehicle described in this embodiment includes the following steps:

[0039] Step 1: Obtain the image to be detected;

[0040] Step 2: perform histogram prescriptive processing on the image to be detected;

[0041] Step 3: For the image processed by the histogram specification, use the canny operator to perform edge detection, and output the gradient size and direction of the contour point;

[0042] Step 4: Obtain the position of the center point of the end cap ellipse according to the size and direction of the contour point gradient;

[0043] Step 5: Capture bolt images respectively, and rotate the images during the screenshot process so that the line connecting the center of the bolt and the center of the end cover forms an angle of 18 degrees counterclockwise with the h...

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Abstract

The fault detection method for the missing bolts of the axle box end cover based on image processing includes one: obtaining the image to be detected; two: performing histogram prescriptive processing on the image to be detected; three: using the canny algorithm for the image after the histogram prescriptive processing edge detection, and output the gradient size and direction of the contour point; 4: get the position of the center point of the end cap ellipse according to the gradient size and direction of the contour point; The connection line with the center of the end cover is at an angle of 18 degrees counterclockwise to the horizontal direction; Six: judge whether the bolt hole exists according to the rotated bolt image, if it exists, it will be identified as a fault and the fault will be uploaded, if not, judge whether the bolt exists , if it exists, detect the next bolt, if it does not exist, extract the LBP feature and use the SVM classifier to judge whether the bolt is missing, if it is judged as missing, upload the fault, if it is judged as not missing, then detect the next bolt.

Description

technical field [0001] The invention relates to the technical field of fault diagnosis of railway vehicles, in particular to an image processing-based detection method for missing bolts in an axle box end cover of a motor vehicle. Background technique [0002] At present, fault detection of EMUs generally adopts manual troubleshooting for troubleshooting. Since the inspection operation is greatly affected by factors such as the professional quality, sense of responsibility, and labor intensity of the operator, it is easy to miss inspection or simplify the operation. The efficiency of manual inspection is low. Once a quality problem occurs, it is not conducive to finding the cause of the problem and the time when the problem occurred during the operation. Contents of the invention [0003] The purpose of the present invention is to propose an image processing-based detection method for missing bolts in the axle box end cover of the motor vehicle in view of the low efficien...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/00G06K9/62G06T7/00G06T7/13G06T7/187
CPCG06T7/0008G06T7/13G06T7/187G06T2207/30164G06T2207/10004G06T2207/20024G06V20/20G06F18/2411
Inventor 王斐
Owner HARBIN KEJIA GENERAL MECHANICAL & ELECTRICAL CO LTD