A systematic approach for soft sensor development
By Bao Lin, Bodil Recke, Jørgen K. H. Knudsen, Sten Bay Jørgensen. Computers and Chemical Engineering, 2007
348 citations recorded by the source corpus.
Subfields: Control and Systems Engineering, Mechanical Engineering
View Paper: https://www.semanticscholar.org/paper/93c31d14fac0c499af1aea9c9b342780be69a4c4
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Control and Systems Engineering
- Rui Alexandre de Matos Araújo
- Francisco Alexandre A. Souza
- Jérôme Mendes
- Bogdan Gabrys
- Sibylle Strandt
- Petr Kadlec
- Zhiqiang Ge
- Okyay Kaynak
Citations in the corpus
- Data-driven Soft Sensors in the process industry (2009, methodology): “In Lin et al. (2007) in addition to a systematic procedure for PCA-based Soft Sensor development, two case studies applying the proposed method to process industry problems, namely a free lime prediction and NOx prediction in a cement kiln, are presented.”
- Review of soft sensor methods for regression applications (2016, background): “Applications of PCA as a basis for unsupervising variable selection are vast in SSRs literature [34; 35; 36];”