On-board Monitoring Algorithms
On-Board Monitoring Algorithms is a computational methodology within automotive diagnostics that enables real-time assessment of exhaust aftertreatment system performance by continuously analyzing sensor data to detect deviations from prescribed operational thresholds.
21
Publications
661
Citations
96
Authors
43
Institutions
Publications per year
2017–2026
8
21
1–5 of 21
96
1
h-index
1
h-index
1
h-index
1
h-index
1
h-index
1–5 of 96
43
Tsinghua University
Beijing, China
2 h-index
9 publications
473 citations
State Key Joint Laboratory of Environment Simulation and Pollution Control
Beijing, China
2 h-index
9 publications
473 citations

Beijing University of Technology
Beijing, China
2 h-index
7 publications
159 citations
Science Applications International Corporation (United States)
McLean, United States
2 h-index
4 publications
100 citations

Hefei Institutes of Physical Science
Hefei, China
1 h-index
1 publications
32 citations
University of California, Riverside
Riverside, United States
1 h-index
2 publications
44 citations
ETH Zurich
Zurich, Switzerland
1 h-index
1 publications
136 citations
Technische Universität Berlin
Berlin, Germany
1 h-index
1 publications
136 citations
1–8 of 43
5 publications · 101 citations
5
h-index
1 publications · 16 citations
1
h-index
1 publications · 69 citations
1
h-index
1 publications · 22 citations
1
h-index
1 publications · 24 citations
1
h-index
1–5