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- W4313509634 abstract "The building structure and equipment of substations are exposed and are subject to environmental factors, which can produce deformation. Once the equipment of the substation fails due to excessive displacement, it will seriously endanger the substation safety and affect the power supply. The traditional manual inspection method of a substation is challenging to observe the slight deformation of the substation. Thus, a displacement recognition method of substation is proposed based on vision. The state-of-the-art object recognition technology was applied to build a calibration object recognition model. In recognition of structural displacement, the calibrator is fixed on the substation structure. The camera recognizes the pixel change of the calibrator, and then the structural displacement is calculated. Finally, the proposed method is validated. Results show that the application of the mobile terminal-based method proposed in this paper is considerably close to the actual displacement, which meets the requirements for industrial use." @default.
- W4313509634 created "2023-01-06" @default.
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- W4313509634 date "2023-01-05" @default.
- W4313509634 modified "2023-09-23" @default.
- W4313509634 title "Identification Method for Displacement of Substation Structure Based on Machine Vision" @default.
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- W4313509634 doi "https://doi.org/10.1061/9780784484470.059" @default.
- W4313509634 hasPublicationYear "2023" @default.
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