Classification and authentication of operating conditions in different processes using Partial Least Squares
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Rubal Chandra
Abstract
Partial Least Squares (PLS) is a supervised multivariate statistical/machine learning technique, which is used for classification and identification/authentication of a variety of operating conditions in tomato juice concentrator/evaporator, yeast fermentation bioreactor and fluid catalytic cracking process plants. Data for the three processes were generated pertaining to different operating conditions (for each of them) including faulty ones by simulating their mechanistic models over 25 h. The simulated data at transient conditions were chosen for further processing. They were divided into training and testing data pools. After training, the developed PLS model could classify various process operating conditions 100 % accurately and identify unknown process operating conditions (simulated using training pool with certain degree of variations in them) pertaining to the processes.
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Research ethics: Not applicable.
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Author contributions: Mr. Rubal Chandra carried out the research work under the guidance and supervision of Dr. Madhusree Kundu. The conception and layout of the manuscript was accomplished by Dr. Madhusree Kundu. Mr. Rubal Chandra had written the manuscript. The corrections were made in the revised manuscript jointly.
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Competing interests: The authors declare that they have no competing interests.
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Research funding: This research was not funded one.
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Data availability: Simulation code and data are with the corresponding author and available on request.
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Articles in the same Issue
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- Direct synthesis based sliding mode controller design for unstable second order with dead-time processes with its application on continuous stirred tank reactor
- Classification and authentication of operating conditions in different processes using Partial Least Squares
- Enhancing heat exchanger efficiency with novel perforated cone-shaped turbulators and nanofluids: a computational study
Articles in the same Issue
- Frontmatter
- Research Articles
- Removal efficiency of organic chloride from naphtha fraction using micro and nano-γ-Al2O3 sintered adsorbents
- Energy, exergy, and economic analyses and optimization of a deethanizer tower of a petrochemical plant
- Solar driven desalination system for power and desalination water production by concentrated PVT and MED system
- Energy and exergy analysis of primary steam superheating effects on the steam ejector applied in the solar renewable refrigeration cycle in the presence of spontaneous nucleation
- Numerical investigation of the effects of dry gas model and wet steam model in solar-driven refrigeration ejector system
- Numerical investigation of different biomass feedstock on syngas production using steam gasification and thermodynamic analysis
- Numerical and experimental study of the baffle-based split and recombine chamber (B-SARC) micromixers
- Direct synthesis based sliding mode controller design for unstable second order with dead-time processes with its application on continuous stirred tank reactor
- Classification and authentication of operating conditions in different processes using Partial Least Squares
- Enhancing heat exchanger efficiency with novel perforated cone-shaped turbulators and nanofluids: a computational study
