Research on Monitoring Method of Ethylene Oxide Process by Improving C4.5 Algorithm
Sign Up to like & getrecommendations! Published in 2019 at "Big Data"
DOI: 10.1007/978-981-15-1899-7_28
Abstract: Aiming at the serious safety hazards and environmental pollution problems in the process of extracting ethylene epoxidation to produce ethylene oxide, a chemical process monitoring method based on improved decision tree C4.5 is proposed. Compared… read more here.
Keywords: process; monitoring method; chemical process; ethylene oxide ... See more keywords
Performance-driven ensemble ICA chemical process monitoring based on fault-relevant models
Sign Up to like & getrecommendations! Published in 2020 at "Soft Computing"
DOI: 10.1007/s00500-020-04673-6
Abstract: Independent component analysis has been widely used in non-Gaussian chemical process monitoring. However, using the normal operation data or adopting a certain independent component selection criteria alone to construct the monitoring model cannot achieve satisfactory… read more here.
Keywords: fault; process monitoring; process; monitoring ... See more keywords
WITHDRAWN: Effect of Flare destruction and removal efficiencies on regional ozone pollution from oil, gas and chemical process industries in Southeast of Texas through CAMx modeling and simulation
Sign Up to like & getrecommendations! Published in 2020 at "Atmospheric Environment"
DOI: 10.1016/j.atmosenv.2020.117326
Abstract: Flare is the last safety measure for daily operations in oil, gas & chemical process industries (OGCPI). However, an excessive flaring releases large quantity of emissions of VOCs and NOₓ, which may suddenly enhance local… read more here.
Keywords: pollution; gas chemical; chemical process; flare ... See more keywords
The probabilistic discriminative time-series model with latent variables and its application to industrial chemical process modeling
Sign Up to like & getrecommendations! Published in 2021 at "Chemical Engineering Journal"
DOI: 10.1016/j.cej.2021.130298
Abstract: Abstract Probabilistic models with latent variables have caught extensive attention in industrial modeling since they can predict the distribution of variables of interest. However, the traditional probabilistic model is a generative model in which some… read more here.
Keywords: process; model; chemical process; latent variables ... See more keywords
Multiscale Framework for Real-Time Process Monitoring of Nonlinear Chemical Process Systems
Sign Up to like & getrecommendations! Published in 2020 at "Industrial & Engineering Chemistry Research"
DOI: 10.1021/acs.iecr.0c02288
Abstract: Process monitoring techniques are used in the chemical industry to improve both product quality and plant safety. In chemical process systems, real-time process monitoring is one of the most crucia... read more here.
Keywords: process monitoring; real time; process systems; process ... See more keywords
Efficient Approach for Calculating Pareto Boundaries under Uncertainties in Chemical Process Design
Sign Up to like & getrecommendations! Published in 2017 at "Industrial & Engineering Chemistry Research"
DOI: 10.1021/acs.iecr.7b02539
Abstract: Taking account of uncertain model parameters in simulation-based flowsheet optimization is crucial in order to quantify the reliability of the optimization results. Since chemical process design is a multicriteria optimization (MCO) task, methods to deal… read more here.
Keywords: pareto; pareto boundaries; process design; chemical process ... See more keywords
Distributed Dynamic Optimization for Chemical Process Networks Based on Differential Games
Sign Up to like & getrecommendations! Published in 2019 at "Industrial & Engineering Chemistry Research"
DOI: 10.1021/acs.iecr.9b04663
Abstract: Two distributed dynamic optimization structures, receding noncooperative game optimization (RNGO) and receding cooperative game optimization (RCGO), are presented for analyzing distributed dynamic ... read more here.
Keywords: dynamic optimization; chemical process; optimization chemical; process networks ... See more keywords
Fault Diagnosis of the Dynamic Chemical Process Based on the Optimized CNN-LSTM Network
Sign Up to like & getrecommendations! Published in 2022 at "ACS Omega"
DOI: 10.1021/acsomega.2c04017
Abstract: Deep learning provides new ideas for chemical process fault diagnosis, reducing potential risks and ensuring safe process operation in recent years. To address the problem that existing methods have difficulty extracting the dynamic fault features… read more here.
Keywords: fault diagnosis; cnn; fault; chemical process ... See more keywords
Chemical process and solid solution formation in reactive hot pressed ZrB2–SiC ceramics doped with W
Sign Up to like & getrecommendations! Published in 2017 at "Advances in Applied Ceramics"
DOI: 10.1080/17436753.2016.1257256
Abstract: ABSTRACT ZrB2–SiC doped with W was prepared from a mixture of Zr, Si, B4C and W via reactive hot pressing. The fully dense ZrB2–SiC–WB–ZrC ceramic was obtained at 1900°C for 60 min under 30 MPa in… read more here.
Keywords: reactive hot; solution; zrb2 sic; chemical process ... See more keywords
1D and 2D modelling of a chemical process using the FM-II model: Rotary drum filter
Sign Up to like & getrecommendations! Published in 2018 at "Transactions of the Institute of Measurement and Control"
DOI: 10.1177/0142331216681401
Abstract: This work treats the physical one-dimensional (1D) and two-dimensional (2D) modelling of a chemical process of filtration of slurry, which is the second step of phosphoric acid manufacture. This work focuses on the different physical… read more here.
Keywords: model; filter; chemical process; modelling chemical ... See more keywords
Implementation of chemical process virtualization plant based on cloud computing
Sign Up to like & getrecommendations! Published in 2018 at "Chemical engineering transactions"
DOI: 10.3303/cet1866150
Abstract: This paper expounds the implementation of virtual plant for chemical processes with cloud computing technology. With reference to domestic and foreign literature, we build a chemical process virtualization plant with cloud computing in light of… read more here.
Keywords: process virtualization; plant; cloud computing; chemical process ... See more keywords