Insights into the Fusion Correction Algorithm for On-Board NOx Sensor Measurement Results from Heavy-Duty Diesel Vehicles

Insights into the Fusion Correction Algorithm for On-Board NOx Sensor Measurement Results from Heavy-Duty Diesel Vehicles

Over the last decade, Nitrogen Oxide (NOx) emissions have garnered significantly greater attention due to the worldwide emphasis on sustainable development strategies. In response to the issues of dynamic measurement delay and low measurement accuracy in the NOx sensors of heavy-duty diesel vehicles...

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Bibliographic Details
Main Authors: Chunling Wu, Yiqiang Pei, Chuntao Liu, Xiaoxin Bai, Xiaojun Jing, Fan Zhang, Jing Qin
Format: Article
Language:English
Published: MDPI AG 2023-08-01
Series:Energies
Subjects:
heavy-duty diesel vehicles
on-board nitrogen oxide sensors (OBNS)
fusion correction algorithm
multilayer perceptron (MLP)–random forest regression (RFR)
machine learning
Online Access:https://www.mdpi.com/1996-1073/16/16/6082

Internet

https://www.mdpi.com/1996-1073/16/16/6082

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