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Multivariate monitoring and diagnostics of process variable data

A system and method of monitoring and diagnosing on-line multivariate process variable data in a process plant, where the multivariate process data comprises a plurality of process variables each having a plurality of observations, includes collecting on-line process data from a process control system within the process plant when the process is on-line, where the collected on-line process data comprises a plurality of observations of a plurality of process variables, performing a multivariate statistical analysis to represent the operation of the process based on a set of collected on-line process data comprising a measure of the operation of the process when the process is on-line, where the representation of the operation of the process is adapted to be executed to generate a result, storing the representation of the operation of the process and the set of collected on-line process data, and generating an output based on a parameter of the representation of the operation of the process, where the parameter of the representation of the operation of the process comprises one or more of a result generated by the representation of the operation of the process, a process variable used to generate the representation of the operation of the process and the set of collected on-line process data.
Owner:FISHER-ROSEMOUNT SYST INC

Baffle assembly module for vertical staged polymerization reactors

The present invention provides an assembly for use in vertical, gravity flow driven polymerization reactors for combinations of high viscosity, high throughput, and shallow polymer depths. The baffle assembly module of the invention includes a support structure having a plurality of side openings. The side openings allow the escape of vapor liberated from the polymeric melt. The assembly further includes a feed splitter followed by two or more vertically arranged rows of baffle plates with the feed splitter and baffles sequentially positioned in the support structure. The plurality of parallel baffles in a row are angled such that when a polymeric melt contacts a given baffle the polymeric melt moves in a downward direction under the force of gravity. The arrangement of the rows is such that each row (except the lowest row) transfers the polymeric melt to a lower vertically adjacent row until reaching the last row of baffles in the module. According to the vertical arrangement of the components in the baffle assembly module and by stacking additional baffle assembly modules if needed within the reactor, the polymeric melt cascades down the vertical length of the reaction vessel interior. The present invention also provides a polymerization reactor that incorporates the assembly of the invention and a method of increasing the degree of polymerization of a polymer melt by using the assembly of the invention.
Owner:EASTMAN CHEM CO

On-line monitoring and diagnostics of a process using multivariate statistical analysis

A system and method of monitoring and diagnosing on-line multivariate process variable data in a process plant, where the multivariate process data comprises a plurality of process variables each having a plurality of observations, includes collecting on-line process data from a process control system within the process plant when the process is on-line, where the collected on-line process data comprises a plurality of observations of a plurality of process variables and where the plurality of observations of the set of collected process data comprises a first data space having a plurality of dimensions, performing a multivariate statistical analysis to represent the operation of the process based on a set of collected on-line process data comprising a measure of the operation of the process when the process is on-line within a second data space having fewer dimensions than the first data space, performing a univariate analysis to represent the operation of the process as a multivariate projection of the on-line process data by a univariate variable for each of the process variables, where the univariate variable unifies the process variables, and generating a visualization comprising a first plot of a result generated by the multivariate statistical representation of the operation of the process and a second plot of a result generated by the univariate representation of the operation of the process.
Owner:FISHER-ROSEMOUNT SYST INC
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