Varakushin Sergey (graduate student, Moscow polytechnic university)
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The article presents an approach to determining the degree of wear of the brake pads of a car based on the segmentation of the brake surface. Typical braking effects on brake shoe segments have been determined. The structure of the neural network model for determining the degree of wear of the brake pad segments was presented depending on the combination of brake actions. The process of learning the neural network consists in uniform redistribution of brake actions on all segments of the brake shoe for the same reduction in its thickness. For neural network simulation, the AnyLogic 7 Personal Learning Edition software package was used. A technical implementation of the brake system with segmented brake shoes was proposed.
Keywords:automation, control, brake pad wear, neural network modeling
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Read the full article …
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Citation link: Varakushin S. Method of calculating the degree of wearing of brake pads for cars by the method of neuro network modeling // Современная наука: актуальные проблемы теории и практики. Серия: Естественные и Технические Науки. -2018. -№07. -С. 91-96 |
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