What is it about?
The developed adaptive soft sensor is an algorithm for highly nonlinear chemical processes that can predict the output variables such as concentrations of products using the historical database. It is a low cost, and less maintenance approach.
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Why is it important?
The developed adaptive soft sensor is an improved algorithm that can provide good prediction in highly nonlinear processes. Hence, it can enhance process control and monitoring in order to archive excellent operation.
Perspectives
I hope that the developed adaptive soft sensors can benefit to other researchers and can be used by chemical industrial plants.
wan sieng yeo
Curtin University Malaysia
Read the Original
This page is a summary of: Development of Adaptive Soft Sensor Using Locally Weighted Kernel Partial Least Square Model, Chemical Product and Process Modeling, August 2017, De Gruyter,
DOI: 10.1515/cppm-2017-0022.
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