| Autor: |
Guardiola, Carlos, Mahedero, Francisco, Fornés-Leal, Alejandro, Lacalle, Ignacio, Palau, Carlos E., Vigild, Christian W., Schusteritz, Klaus |
| Zdroj: |
IFAC-PapersOnLine; January 2023, Vol. 56 Issue: 2 p4959-4964, 6p |
| Abstrakt: |
Nitrogen oxides (NOx) are one of the main pollutants from both SI and CI engines. In recent years, regulation focus has moved from type-approval certification over known driving cycles to real-life verification of the emission level. In this paper, a system for NOxin-service emission monitoring based on ASSIST-IoT cloud/edge architecture is presented, and the effect of sensor bias on the emission level estimate discussed. The use of an additional high-fidelity sensor in a sample of the fleet is proposed as a method for estimating series sensor drift through a distributed learning approach, able to provide local and global models for the sensor. |
| Databáze: |
Supplemental Index |
| Externí odkaz: |
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