A New Approach to Identifying Operational Conditions in Multivariable Dynamic Processes Using Multidimensional Projection Techniques (Record no. 131031)

MARC details
000 -LEADER
fixed length control field 02720nmc a2200253 4500
008 - CÓDIGOS DE INFORMACIÓN DE LONGITUD FIJA - INFORMACIÓN GENERAL
Campo de control de longitud fija 260224s2001 xxu ing
041 ## - IDIOMA
Idioma Inglés
245 00 - TITULO
Título A New Approach to Identifying Operational Conditions in Multivariable Dynamic Processes Using Multidimensional Projection Techniques
Subtítulo SPE 69523
260 ## - PUBLICACION, DISTRIBUCION, ETC
Lugar de publicación, distribución, etc. Dallas, Texas
Nombre de publicador, distribuidor, etc. Society of Petroleum Engineers
Fecha de publicación, distribución, etc. 2001
270 ## - FECHA DE CARGA
Fecha de carga 12/09/06 ; 17/07/01
520 ## - RESUMEN, ETC
Resumen Industrial processes may have a large number of measured variables. Combining these variables is possible to identify different operational regions and detect anomalies or deviations within the process. However, it is hard to visualize operational conditions and identify problems on line. The difficulties arise because the field operators must observe and analyze dozens of variables concurrently in order to identify the operational state of the process. This is not a new problem and previous attempts to find a solution have limitations to overcome. One traditional approach was to assign alarms to each variable to alert operators about potential problems. However, far from solving the problem, this technique aggravated it, mainly because there were too many alarms and a number of them turned to be false. This prompted the operators to ignore the control system, which made things worse. A novel multivariable-process visualization technique is being proposed to help in the tasks of supervision, observation of operational states, and detection of problems in multivariable processes. The technique combines steady-state-detection filters, statistical filters, pattern matching, and spatial transformations for the gathered data. A spatial transformation is the key element for data processing, and consists of a space-reduction algorithm based on keeping a set of attributes unchanged between the original space and the projected space. This paper describes a general methodology to monitor multivariable industrial processes. The methodology was applied to a control test case as well as a real time debutanizer column process.
942 ## - DESC. DE MATERIAL
Tipo de item KOHA Congresos (trabajos presentados)
100 1# - RESPONSABLE PERSONAL
Apellido, Nombre Ranson, A.
9 (RLIN) 6162
100 1# - RESPONSABLE PERSONAL
Apellido, Nombre Hernández, K.Y.
9 (RLIN) 6200
100 1# - RESPONSABLE PERSONAL
Apellido, Nombre Vivas, A.A.
9 (RLIN) 6201
111 2# - AUTORIDAD DE CONGRESO
Nombre de congreso Latin American and Caribbean Petroleum Engineering Conference (7th : 2001 mar. 25-28 : Buenos Aires, Argentina)
9 (RLIN) 5738
700 1# - OTRA AUTORIDAD PERSONAL
Nombre Hernández, K.Y.
9 (RLIN) 6200
700 1# - OTRA AUTORIDAD PERSONAL
Nombre Vivas, A.A.
9 (RLIN) 6201
711 2# - ENTRADA AGREGADA--NOMBRE DE REUNIÓN
Nombre de congreso/reunión o jurisdicción como elemento de entrada Latin American and Caribbean Petroleum Engineering Conference (7th : 2001 mar. 25-28 : Buenos Aires, Argentina)
800 1# - RESPONSABLE EDICION
Nombre Ranson, A.
9 (RLIN) 6162
856 ## - LINK
Link <a href="https://biblioteca.iapg.org.ar/ArchivosAdjuntos/LACPEC2001/Spe69523.pdf">https://biblioteca.iapg.org.ar/ArchivosAdjuntos/LACPEC2001/Spe69523.pdf</a>
711 2# - ENTRADA AGREGADA--NOMBRE DE REUNIÓN
-- 5738
Holdings
Biblioteca propietaria Biblioteca actual Fecha de adquisición Inventario Total de préstamos Inventario Fecha de carga Tipo de item KOHA
Biblioteca virtual Biblioteca virtual 03/03/2026 200003089   200003089 03/03/2026 Archivo electrónico


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