scholarly journals IEEE BigData 2021 Cup: Soft Sensing at Scale

2021 ◽  
Author(s):  
Sergei Petrov ◽  
Chao Zhang ◽  
Jaswanth Yella ◽  
Yu Huang ◽  
Xiaoye Qian ◽  
...  
Keyword(s):  
Soft Sensing

Model-Agnostic Meta-Learning with Optimal Alternative Scaling Value and Its Application to Industrial Soft Sensing

2021 ◽  
pp. 1-1
Author(s):  
Yusheng Lu ◽  
Xin Peng ◽  
Dan Yang ◽  
Minglei Yang ◽  
Weimin Zhong
Keyword(s):  
Soft Sensing ◽  
Meta Learning

scholarly journals An Effective Joint Soft-Sensing Strategy for Multi-Information under Diverse Vehicle Driving Scenarios

Electronics ◽  
2021 ◽  
Vol 10 (4) ◽  
pp. 505
Author(s):  
Jianfeng Chen ◽  
Jiantian Sun ◽  
Shulin Hu ◽  
Yicai Ye ◽  
Haoqian Huang ◽  
...  
Keyword(s):  
Time Delay ◽  
Fast Response ◽  
Least Square ◽  
Accurate Information ◽  
Recursive Least Square ◽  
Soft Sensing ◽  
The Road ◽  
Vehicle Mass ◽  
Cubature Kalman Filter ◽  
Road Slope

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.

Soft-sensing Design Based on Semiclosed-loop Framework

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

Downhole Multiphase Metering In Wells By Means Of Soft-sensing

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