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Electric Power Steering Rattle Inspection System Based Deep Running Fault Prediction Analysis
Electric Power Steering Rattle Inspection System Based Deep Running Fault Prediction Analysis
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机译：基于深度运行故障预测分析的电动助力拨浪鼓检查系统
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摘要
The present invention relates to an electric power steering rattle inspection system capable of abstracting multidimensional data through a nonlinear conversion technique based on a neural network, and inspecting the rattle of electric power steering through a method of extracting core information determining performance. The electric power steering rattle inspection system includes: a rattle inspection control device controlling the entire operation of a rattle inspection on electric power steering (EPS), and providing a load state in a condition proper for a driving road; an inspection equipment driving part applying a load proper for the driving road to inspection equipment in accordance with the control of the rattle inspection control device; EPS rattle inspection equipment applying vibrations to the EPS in accordance with the operation of the inspection equipment driving part; and an analysis evaluation part evaluating the rattle of the EPS by converting a vibration signal generated from the EPS rattle inspection equipment into image data and then analyzing the data through a deep learning-based malfunction prediction analysis algorithm. Therefore, an electric power steering rattle inspection system based on deep learning malfunction prediction analysis can be created.
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