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- W3111569334 abstract "Elevators are gradually becoming an indispensable part of people's daily life. At the same time, various safety problems caused by elevators are also seriously threatening people's life and property security. Elevator traction wire rope damage is a common type of potential safety hazard. At present, the defect detection method for elevator traction wire rope damage generally has high complexity and labor cost. This paper presents a method to detect the abrasion of elevator traction wire rope by taking full use of the texture feature of the traction wire rope images. First, the interference factors in the process of image acquisition are removed by the pretreatment methods of graying and denoising. Then, the abrasion area of the traction wire rope is determined according to the similarity measurement criteria by combining edge detection and template matching. Finally, the image is finely segmented and the abrasion rates of different areas are calculated. This method is convenient and intuitive to detect the changes of elevator wire rope abrasion. On one hand, the complexity of the detection and the loss of the human labor can be reduced; on the other hand, valuable reference can be provided for elevator maintenance. Experiment on actual wire rope images validate the effectiveness of the proposed method." @default.
- W3111569334 created "2020-12-21" @default.
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- W3111569334 date "2020-11-20" @default.
- W3111569334 modified "2023-10-16" @default.
- W3111569334 title "An Abrasion Detection Method for Elevator Traction Wire Rope based on Template Matching" @default.
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- W3111569334 doi "https://doi.org/10.1109/ddcls49620.2020.9275198" @default.
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