The sequential-clustered method for dynamic chemical plant simulation

The Sequential-clustered Method for Dynamic Chemical Plant Simulation

We describe the design, development and testing of a prototype simulator to study problems associated with robust and efficient solution of dynamic process problems, particularly for systems with models containing moderately to very stiff ordinary differential equations and associated algebraic equations. A new predictor-corrector integration strategy and modular dynamic simulator architecture ...

Dynamic Simulation and Control of the Demethanizer Unit in Natural Gas Refining Plant

The NGL refinery of the Sirri Island has a major role in the production of high-value products. One of the most important refinery units is the demethanizer unit, comprising of a complex network of distillation towers and heat exchangers. In the first step, using the Aspen Hysys software, a proper steady state model was developed for this unit in which the simulation of the main equipment that ...

A New Method for Multisensor Data Fusion Based on Wavelet Transform in a Chemical Plant

This paper presents a new multi-sensor data fusion method based on the combination of wavelet transform (WT) and extended Kalman filter (EKF). Input data are first filtered by a wavelet transform via Daubechies wavelet “db4” functions and the filtered data are then fused based on variance weights in terms of minimum mean square error. The fused data are finally treated by extended Kalman filter...

A New Method for Analyzing Sequential Processes: Dynamic Multilevel Analysis

A Statistical Method for Sequential Images – Based Process Monitoring

Today, with the growth of technology, monitoring processes by the use of video and satellite sensors have been more expanded, due to their rich and valuable information. Recently, some researchers have used sequential images for image defect detection because a single image is not sufficient for process monitoring. In this paper, by adding the time dimension to the image-based process monitorin...