Process Control
Soft sensor modeling using artificial neural networks
Here are guidelines for proper construction
Hydrogen gas detection
Combining detection systems improves safety
HP Control: CDU overhead double-drum configuration
Fig. 1 shows one of many CDU overhead configurations, with naphtha cutpoint control accomplished by a column top temperature controller manipulating a top pumparound (TPA) circuit heat removal. This c..
Genetic algorithm tuning improves artificial neural network models
The technique is illustrated by predicting hold-up of slurry flow in pipelines
HP Control: Align alkylation separation to economics
A recent HP editorial1 showed the effect of advanced process control (APC) with inferential models on alkylation isostripper iC4 lost to an nC4 side draw (Fig. 1). From trend data for the two periods ..
Align HPI operations to economics
Clifftent optimizes risky tradeoffs at limits
HP Reliability: To b(ias) or not to b(ias)? This is the question
How often would you bias an inferential model? Given the propensity of instruments to go off calibration, "never" is not a valid answer. "Every day upon receiving lab information" is an equally bad an..
HP Control: Where do you take those inferential models from?
Charts shown in my editorials, illustrating the performance of select first-principles models, have attracted much e-mail feedback. While mostly positive, some question why the editorials do not provi..
Predicting important parameters using artificial neural networks
Consider them for complex nonlinear processes
Redesign of a compressor antisurge control loop using dynamic simulation
The new design solved the two-phase flow problem
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