Scinovex
reviewTop 1% cited

A Review on Soft Sensors for Monitoring, Control, and Optimization of Industrial Processes

IEEE Sensors Journal · 2020 · Vol. 21(11) · pp. 12868–12881
Yuchen JiangShen YinJingwei DongOkyay Kaynak

Abstract

Over the past twenty years, numerous research outcomes have been published, related to the design and implementation of soft sensors. In modern industrial processes, various types of soft sensors are used, which play essential roles in process monitoring, control and optimization. Emerging new theories, advanced techniques and the information infrastructure have enabled the elevation of the performance of soft sensing. However, novel opportunities are accompanied by novel challenges. This work is motivated by these observations and aims to present a comprehensive review of the developments since the start of the millennium. While a few books and review articles are published on the related topics, more focus on the most up-to-the-date advancement is put in this work, from the perspective of systems and control.

Fault Detection and Control SystemsAdvanced Control Systems OptimizationMineral Processing and GrindingProcess (computing)Perspective (graphical)Computer scienceControl (management)Work (physics)Focus (optics)Process controlSystems engineeringWork in processEngineering

Funding

  • National Natural Science Foundation of China
  • Fok Ying Tung Education Foundation
  • National Defense Basic Scientific Research Program of China
Citations
598
FWCI
40.97
field-weighted impact
References
114
Percentile
100%
vs. same field & year
Citations per year
Cited by
A Survey on Deep Learning for Data-Driven Soft Sensors
IEEE Transactions on Industrial Informatics · 2021 · 563 citations
References
ML-KNN: A lazy learning approach to multi-label learning
Pattern Recognition · 2007 · 3,495 citations
Regularization and Variable Selection Via the Elastic Net
Journal of the Royal Statistical Society Series B (Statistical Methodology) · 2005 · 20,431 citations
Normalized Mutual Information Feature Selection
IEEE Transactions on Neural Networks · 2009 · 1,271 citations
A Review on Basic Data-Driven Approaches for Industrial Process Monitoring
IEEE Transactions on Industrial Electronics · 2014 · 1,648 citations
Citation Network

How this paper connects to the literature. Drag to explore, click any node to open that paper.