真实行驶车辆NOx排放的回归模型

2019 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS) Pub Date : 2019-12-01 DOI:10.1109/ISPACS48206.2019.8986392

Hung-Ta Wen, Ming-An Li, Jau-Huai Lu

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引用次数: 1

摘要

虽然便携式排放测量系统(Portable Emission Measurement System, PEMS)已成为车辆的官方认证程序，但其价格昂贵，不能作为监测设备大量使用。本研究的目的是建立一个低成本的车辆污染监测系统(NGK NOx传感器，Arduino with CanBus)，并使用该系统测量实际车辆道路污染排放。此外，提出了一种人工神经网络非线性自回归外源模型(NARX)来预测NOx排放。

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The regression model of NOx emission in a real driving automobile

Although the Portable Emission Measurement System (PEMS) has become the official certification procedure for vehicles, but it is very expensive and cannot be used as a monitoring device for massive use. The purpose of this study is to establish a low-cost vehicle pollution monitoring system (NGK NOx sensor, Arduino with CanBus) and uses this system to measure the actual vehicle road pollution emissions. In addition, proposes an ANN nonlinear autoregressive exogenous model (NARX) to predict NOx emissions.

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2019 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)

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