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Brake Discs Surface Defect Detection Using the IGD-IHT Algorithm and the PIQEDS-ISSA-NESN Algorithm
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作者 Feng Li Zhen Yu +1 位作者 Juan Gao Qi An 《Instrumentation》 2024年第3期62-73,共12页
As one of the core parts, the brake discs directly impact the braking and safety performance of vehicles. Traditional surface detection methods of the brake disc have poor robustness due to their reliance on manual fe... As one of the core parts, the brake discs directly impact the braking and safety performance of vehicles. Traditional surface detection methods of the brake disc have poor robustness due to their reliance on manual feature extraction. A detection instrument was designed to focus on the detection. The features were extracted using the improved Gaussian difference algorithm and Hough transform algorithm(IGD-IHT). An identification method for brake disc surface defects was designed in this paper based on the Perception-based Image Quality Evaluator and Dempster rule-improved sparrow search algorithm-Nonlinear echo state network(PIQEDS-ISSA-NESN) to better identify. It was shown in the experiment that the accuracy was more than 97%, the false alarm rate was less than 1.5%, and the false alarm rate was less than 1.5%. 展开更多
关键词 surface defectdetection IGD-IHT algorithm piqeds-issa-nesn algorithm brake discs
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