30 results about "Mathematical process" patented technology

A computer implemented method, computer program product, and data processing system for performing analysis on a plurality of data stored in a database. In an illustrative method, a first cohort is generated from the plurality of data. An optimal control cohort is generated from the plurality of data. Generating is performed based on the first cohort and at least one constraint, and a mathematical process is used to derive the optimal control cohort. A first inference is generated based on a comparison of the first cohort to the optimal control cohort, wherein the first inference is absent from the database. In an illustrative example, the first inference is stored.

An estimation unit can estimate, on a real-time basis, a maximum power generation capacity of a single cycle or combined cycle gas turbine power plant. For example, the actual power output and the maximum power generation capacity can be calculated relying on a mathematical process model. Subsequently, the calculated actual power output can be compared with the measured power output yielding a model-estimation error. Based on the model-estimation error, a correction signal can be deduced, to correct the calculated maximum power generation capacity. A controller can maintain a specified power reserve. The controller can use an estimate of the maximum power generation capacity as a reference, subtract a load offset, and apply the resulting signal as upper limit of the load set-point.

Petroleum oil is catalytically cracked by contacting oil with catalyst mixture consisting of a base cracking catalyst containing an stable Y-type zeolite and small amounts of rare-earth metal oxide, and an additive containing a shape-selective zeolite, in an FCC apparatus having a regeneration zone, a separation zone, and a stripping zone. Production of light-fraction olefins is maximized by applying appropriate process control, monitoring, and optimizing systems. Mathematical process models, including neural networks, statistical models and finite impulse models are used in conjunction with advanced controllers and optimizing routines to calculate optimal settings for various parameters. Process model and historical data to test a predictive system can provide early warning of potential performance degradation and equipment failure in the FCC unit, decreasing overall operating costs and increasing plant safety.

A method is described for controlling a process section for thermo-mechanical pulp (TMP) refining. The process section has at least one first refiner having a plurality of sensors arranged in a predetermined position on a refiner plate of the at least one first refiner. The method comprises measuring, alternatively estimating, one or more process variables representing external states outside of the refiner Formula (I) for said process section and measuring, alternatively estimating, one or more values representing one or more internal states states Formula (II) inside said at least one first refiner, and calculating a change for said at least one manipulated variable (u 1 ) for said at least one refiner using said measurement of an internal state Formula (II) of said at least one refiner and a measurement of said one or more process external states Formula (I); for said process section by means of a mathematical process model.

Petroleum oil is catalytically cracked by contacting oil with catalyst mixture consisting of a base cracking catalyst containing an stable Y-type zeolite and small amounts of rare-earth metal oxide, and an additive containing a shape-selective zeolite, in an FCC apparatus having a regeneration zone, a separation zone, and a stripping zone. Production of light-fraction olefins is maximized by applying appropriate process control, monitoring, and optimizing systems. Mathematical process models, including neural networks, statistical models and finite impulse models are used in conjunction with advanced controllers and optimizing routines to calculate optimal settings for various parameters. Process model and historical data to test a predictive system can provide early warning of potential performance degradation and equipment failure in the FCC unit, decreasing overall operating costs and increasing plant safety.

A method is described for controlling a process section for refining fibrous material such as wood pulp, cellulose pulp and the like. The process section has a refiner driven by a motor of which the speed is variable. Using a multivariable control method the process may be optimised for energy by varying the rotation speed of the refiner. The process section may also have at least one first refiner having a plurality of sensors arranged in a predetermined position on a refiner plate of the at least one first refiner. The method may also comprise measuring, alternatively estimating, one or more process variables representing external states outside of the refiner (?1,Q1) for said process section and measuring, alternatively estimating, one or more values representing one or more internal states (?1) inside said at least one first refiner, and by calculating a change for said at least one manipulated variable (u1) for said at least one refiner using said measurement of an internal state (?1) of said at least one refiner and a measurement of said one or more process external states (n1,Q1) for said process section by means of a mathematical process model.