A Catenary Insulator Condition Detection Method Based on Robust Principal Component Analysis

A technology of principal component analysis and state detection, which is applied in image analysis, instrumentation, calculation, etc., can solve problems such as complex image processing technology and image complexity, and achieve the effect of high correct detection rate, difficulty of simplification, and effective segmentation

Active Publication Date: 2022-04-29
SOUTHWEST JIAOTONG UNIV
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Problems solved by technology

Since the images of catenary support and suspension devices collected on site are generally complex, and the image processing technology adopted is relatively complex, there is an urgent need for a simple and rapid image detection algorithm to quickly locate and detect the fault status of insulators

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  • A Catenary Insulator Condition Detection Method Based on Robust Principal Component Analysis
  • A Catenary Insulator Condition Detection Method Based on Robust Principal Component Analysis
  • A Catenary Insulator Condition Detection Method Based on Robust Principal Component Analysis

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Embodiment Construction

[0054] The present invention will be described in further detail below in conjunction with the accompanying drawings and specific embodiments. figure 1 It is a process block diagram of the method of the present invention. figure 2The high-speed rail catenary suspension device image collected for the scene, the catenary insulator state detection method based on the robust principal component analysis method of the present invention, is characterized in that, comprises the following steps:

[0055] Step A: Use a special comprehensive train inspection vehicle to image the high-speed railway catenary support and suspension device;

[0056] Step B: Establish four sample data sets of each post insulator with fixed viewing angles, and use Mask-RCNN convolutional neural network for insulator target detection and segmentation, so as to locate and segment the position of insulators in the catenary support and suspension device images.

[0057] Such as image 3 As shown, using the Mas...

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Abstract

The invention discloses a catenary insulator state detection method based on a robust principal component analysis method. According to the collected catenary support and suspension device images, an insulator sample data set is established, and a Mask-RCNN convolutional neural network is used for target detection and segmentation. , so as to locate and segment the position of the insulator in the image; calculate the minimum circumscribing moment of the insulator according to the positioning result, detect the inclination angle, and rotate the acquired image according to the inclination angle to obtain the horizontal insulator image; cut the collected insulator image piece by piece to obtain A single insulator sheet data set with a fixed viewing angle; the foreground and background segmentation of the insulator sheet data set with a fixed viewing angle; the texture feature extraction of the separated foreground through the gray level co-occurrence matrix, using energy and entropy to extract the texture features of the image, and The weighted summation is carried out according to whether it is positively correlated, and a threshold is set to identify the state of the insulator. The invention realizes the detection and rapid positioning of insulator defects, dirt and other bad states.

Description

technical field [0001] The invention relates to the technical field of high-speed railway image intelligent detection, in particular to a catenary insulator state detection method based on a robust principal component analysis method. Background technique [0002] The rapid development of high-speed railways has put forward higher requirements for the operation safety of traction power supply systems. Advanced testing technology and modern testing equipment are the guarantee for improving the maintenance quality of traction power supply systems and the basis for realizing the state detection and maintenance of electrified railways. important means. In the electrified railway power supply system, the arm support device mainly includes inclined arm, horizontal arm (tie rod), rod insulator and related parts. The rod insulator is used to suspend and support the inclined arm and the horizontal arm and keep the contact wire electrically insulated from the grounding body. The obl...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/00G06V10/25G06V10/26G06V10/48G06T7/45
CPCG06T7/0002G06T7/45G06V10/25G06V10/267G06V10/48
Inventor 刘志刚王惠刘文强杨成李昱阳
Owner SOUTHWEST JIAOTONG UNIV
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