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Interpretable
Comprehensive Analysis on Machine Learning Approaches for Interpretable and Stable Soft Sensors
Soft sensors play a vital role in industrial process monitoring and control by estimating difficult-to-measure quality variables. While …
Liang Cao
,
Jingyi Wang
,
Jianping Su
,
Yi Luo
,
Yankai Cao
,
Richard D Braatz
,
Bhushan Gopaluni
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Interpretable Data-Driven Capacity Estimation of Lithium-ion Batteries
Battery degradation poses a significant challenge for the usage of Lithium-ion batteries, making accurate capacity estimation crucial …
Yixiu Wang
,
Anurakt Kumar
,
Jiayang Ren
,
Pufan You
,
Arpan Seth
,
R Bhushan Gopaluni
,
Yankai Cao
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Interpretable Industrial Soft Sensor Design Based on Informer and Shap
Deep learning models have been widely employed in various domains, yet they have certain limitations when it comes to industrial …
Liang Cao
,
Xiaolu Ji
,
Yankai Cao
,
Yi Luo
,
Yixiu Wang
,
Lim C Siang
,
Jin Li
,
R Bhushan Gopaluni
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Interpretable Soft Sensors using Extremely Randomized Trees and Shap
Tree-based ensemble models are easy to implement and have been widely used in various fields. However, they have limitations in …
Liang Cao
,
Xiaolu Ji
,
Yankai Cao
,
Yupeng Li
,
Lim C Siang
,
Jin Li
,
Vijay Kumar Pediredla
,
R Bhushan Gopaluni
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