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A device and method for detecting noise source based big data

机译:一种基于噪声源的大数据检测装置及方法

摘要

The present invention is a technology for diagnosing an artificial intelligence problem noise source based on deep learning for vehicle noise, particularly atypical noise such as powertrain noise. Acquiring data, converting it into noise, and converting it into a first code; Converting engine speed information from the vehicle CAN data into the first code; Diagnosing the source of the problem noise during the noise or the vibration from the first code by deep learning of artificial intelligence; Big data information-based problem noise source diagnostic method comprising the It is possible to provide a portable device that can generate complex, atypical powertrain noise or precise diagnosis of vehicle noise by generating a trained model based on probability.
机译:本发明是一种基于深度学习来诊断人工智能问题噪声源的技术,以用于车辆噪声,特别是非典型噪声,例如动力总成噪声。获取数据,将其转换为噪声,并将其转换为第一代码;将来自汽车CAN数据的发动机转速信息转换为第一代码;通过深度学习人工智能,从第一代码中诊断噪声或振动过程中的问题噪声源;包括以下内容的基于大数据信息的问题噪声源诊断方法:可以提供一种便携式设备,该便携式设备可以通过基于概率生成经过训练的模型来生成复杂的,非典型的动力总成噪声或车辆噪声的精确诊断。

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