David Shan-Hill Wong's Books

23 European Symposium on Computer Aided Process Engineering

Computer-aided Modeling and Optimization of Thermal Efficiency for Multi-fuel Boiler

By: Jian-Guo Wang,Jia-Lin Kang,Shyan-Shu Shieh,Shi-Shang Jang,David Shan-Hill Wong

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23 European Symposium on Computer Aided Process Engineering

Computer-aided Modeling and Optimization of Thermal Efficiency for Multi-fuel Boiler

By: Jian-Guo Wang,Jia-Lin Kang,Shyan-Shu Shieh,Shi-Shang Jang,David Shan-Hill Wong

The plant input variables are transformed into the derived variables, which are physically and statistically meaningful for modeling. Then, this study proposed an adaptive modeling approach by employing nonnegative garrote variable selection and auto-regression integrated moving average correction. The high accuracy of the proposed modeling approaches makes the implementation of the model-based control of ratio of air to fuel for improving boiler's efficiency readily practicable.

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Elsevier Inc. Chapters

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ISBN 10

0128085436

ISBN 13

9780128085431

23 European Symposium on Computer Aided Process Engineering

Process Fault Diagnosis Based on Bayesian Inference

By: Jialin Liu,Shu Jie Liu,David Shan Hill Wong

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23 European Symposium on Computer Aided Process Engineering

Process Fault Diagnosis Based on Bayesian Inference

By: Jialin Liu,Shu Jie Liu,David Shan Hill Wong

Isolating faulty variables is a crucial step during the determination of the root causes of a process fault. Contribution plots, with their corresponding control limits, are the most popular tools used for isolating faulty variables. However, the isolation results may be misled by the smearing effect. In addition, the control limits of the contributions cannot be used to isolate faulty variables, since the control limits are obtained from the normal operating data, which lack any information about the faults. In chemical processes, process faults rarely show a random behavior; on the contrary, they will be propagated to varying variables due to the actions of the process controllers. During the evolution of a fault, the task of isolating faulty variables needs to be concerned with the faulty variables decided in the previous data; in addition, the current decisions should influence the isolation results for the next sample when the fault is constantly occurring. In the presented work, an unsupervised data-driven fault isolation method was developed based on Bayesian decision theory. The Tennessee Eastman (TE) process was used as a benchmark example to demonstrate how the different faulty variables were isolated when the fault was evolving.

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ISBN 10

0128086246

ISBN 13

9780128086247

22nd European Symposium on Computer Aided Process Engineering

By: David Bogle

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22nd European Symposium on Computer Aided Process Engineering

By: David Bogle

Computer aided process engineering (CAPE) plays a key design and operations role in the process industries. This conference features presentations by CAPE specialists and addresses strategic planning, supply chain issues and the increasingly important area of sustainability audits. Experts collectively highlight the need for CAPE practitioners to embrace the three components of sustainable development: environmental, social and economic progress and the role of systematic and sophisticated CAPE tools in delivering these goals. Contributions from the international community of researchers and engineers using computing-based methods in process engineering Review of the latest developments in process systems engineering Emphasis on a systems approach in tackling industrial and societal grand challenges

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1484

Publisher

Elsevier

Published Date

ISBN 10

0444594310

ISBN 13

9780444594310

Book's by David Shan-Hill Wong

23 European Symposium on Computer Aided Process Engineering

23 European Symposium on Computer Aided Process Engineering

23 European Symposium on Computer Aided Process Engineering

23 European Symposium on Computer Aided Process Engineering

22nd European Symposium on Computer Aided Process Engineering

22nd European Symposium on Computer Aided Process Engineering

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