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Interpretable and Reliable Soft Sensor Development in Industry 5.0
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作者 Liang Cao Jianping Su +2 位作者 Fan Yang Yankai Cao Bhushan Gopaluni 《IEEE/CAA Journal of Automatica Sinica》 2026年第1期236-238,共3页
Dear Editor,This letter presents a new approach to developing interpretable and reliable soft sensors for Industry 5.0 applications.Although sophisticated machine learning methods have made remarkable strides in soft-... Dear Editor,This letter presents a new approach to developing interpretable and reliable soft sensors for Industry 5.0 applications.Although sophisticated machine learning methods have made remarkable strides in soft-sensor predictive accuracy,ensuring interpretability and reliable performance across varying industrial operating conditions remains a challenge[1]–[4].This is precisely what Industry 5.0,proposed by the European Commission in 2021,advocates[5],[6].It integrates various cutting-edge technologies,such as human-machine interaction,digital twins,cybersecurity and artificial intelligence,to facilitate the development of better soft sensors. 展开更多
关键词 machine learning digital twins CYBERSECURITY interpretable soft sensors soft sensors sophisticated machine learning methods INDUSTRY reliable soft sensors
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