The paper describes the design of a finite state automaton which forms the kernel of an Intelligent Decision Support System that has been implemented and integrated into the existing supervisory control and data acquisition system at a medium scale municipal Wastewater Treatment Plant. The system provides real-time support and advice to the operators and the manager of the plant for a wide rang...

The Tennessee Eastman (TE) Control Challenge proposed by Downs and Vogel [1] is a test bed problem for use in evaluating advanced process control methodologies from a plant-wide perspective. The dynamic model for the process (based on an actual industrial process) integrates the operation of five unit operations; viz. an exothermic, two-phase reactor, a partial condenser, a centrifugal compress...

Model Predictive Control (MPC) refers to a class of algorithms that compute a sequence of manipulated variable adjustments in order to optimize the future behaviour of a plant. MPC technology can now be found in a wide variety of application areas. The neural network predictive controller that is discussed in this paper uses a neural network model of a nonlinear plant to predict future plant pe...

This work demonstrates for the first time application of network topology variance decompositions in analyzing connectedness chemical plant process variable oscillations arising from disturbances and faults. Specifically, time-based frequency-based variables can be used to compute net pairwise dynamic (NPDC), which originated as a volatility spillover index financial markets studies field econo...

This paper presents a fuzzy-logic-based methodology of life extending control (LEC) for robust wide-range operation of fossil power plants including load-following, scheduled shutdown, and hot startup. The objectives of the LEC are performance enhancement and structural durability of both aging and new fossil power plants. The proposed control system has a two-tier architecture, which explores ...

Abstract:The operation of modern day process plant cannot be visualized without the smart looking Distributed Control System (DCS) situated in control rooms. Process plant automation has evolved from pneumatics to electronics’ to DCS. Use of DCS leads to various advantages like the overall optimization, ease of operation and maintenance tasks, easy monitoring of more plant parameters and ensure...

current study was initiated to generate the information on the effect of row-to-row distance of brassica crop, brassica napus l., on aphids population. three line spacing (20, 30 and 40 cm) with a constant nine cm plant to plant distance were evaluated on aphids infestation and its impact on seed yield. the collected and edited data on fixed parameters indicated that an inverse relation was fou...

population growth, industrial pollution and high-energy consumption, cause the release of significant amounts of pollutants in the environment. power plants play an important role in the release of pollutants such as sulfur dioxide, nitrogen oxides, and carbon dioxide. if the necessary measures in the field of prevention and control do not be implemented, human health and other living creatures...

Abstract This paper presents a model-based assessment of natural gas sweetening process combining high-pressure membrane contactor with conventional amine regeneration. The analysis builds on mathematical model the developed in companion paper, which is capable quantitative predictions CO2 and hydrocarbon absorption solvent evaporative losses to treated gas. predictive capability plant-wide tes...

a real-time optimization (rto) strategy incorporating the fuzzy sets theory is developed, where the problem constraints obtained from process considerations are treated in fuzzy environment. furthermore, the objective function is penalized by a fuzzified form of the key process constraints. to enable using conventional optimization techniques, the resulting fuzzy optimization problem is then re...