scholarly journals IEEE BigData 2021 Cup: Soft Sensing at Scale

Author(s):  
Sergei Petrov ◽  
Chao Zhang ◽  
Jaswanth Yella ◽  
Yu Huang ◽  
Xiaoye Qian ◽  
...  
Keyword(s):  
Electronics ◽  
2021 ◽  
Vol 10 (4) ◽  
pp. 505
Author(s):  
Jianfeng Chen ◽  
Jiantian Sun ◽  
Shulin Hu ◽  
Yicai Ye ◽  
Haoqian Huang ◽  
...  

A variety of accurate information inputs are of great importance for automotive control. In this paper, a novel joint soft-sensing strategy is proposed to obtain multi-information under diverse vehicle driving scenarios. This strategy is realized by an information interaction including three modules: vehicle state estimation, road slope observer and vehicle mass determination. In the first module, a variational Bayesian-based adaptive cubature Kalman filter is employed to estimate the vehicle states with the time-variant noise interference. Under the assumption of road continuity, a slope prediction model is proposed to reduce the time delay of the road slope observation. Meanwhile, a fast response nonlinear cubic observer is introduced to design the road slope module. On the basis of the vehicle states and road slope information, the vehicle mass is determined by a forgetting-factor recursive least square algorithm. In the experiments, a contrasted strategy is introduced to analyse and evaluate performance. Results declare that the proposed strategy is effective and has the advantages of low time delay, high accuracy and good stability.


2012 ◽  
Vol 20 (6) ◽  
pp. 1213-1218 ◽  
Author(s):  
Qifeng TANG ◽  
Dewei LI ◽  
Yugeng XI ◽  
Debin YIN
Keyword(s):  

2008 ◽  
Author(s):  
Martijn Leskens ◽  
Johannes Petrus Maria Smeulers ◽  
Anton Gryzlov
Keyword(s):  

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