PAPER (2025)

Comprehensive Analysis on Machine Learning Approaches for Interpretable and Stable Soft Sensors

IEEE Transactions on Instrumentation and Measurement, Vol. 74, pp. 1-17,

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Comprehensive Analysis on Machine Learning Approaches for Interpretable and Stable Soft Sensors by Liang Cao, Jingyi Wang, Jianping Su, Yi Luo, Yankai Cao, Richard D. Braatz, R. Bhushan Gopaluni

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Abstract

This paper provides a comprehensive analysis of machine learning approaches for developing interpretable and stable soft sensors in industrial applications, addressing key challenges in model reliability and transparency.

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