Author/Authors
A.K. Tangirala، نويسنده , , S.L. Shah and N.F. Thornhill، نويسنده ,
DocumentNumber
1384705
Title Of Article
PSCMAP: A new tool for plant-wide oscillation detection
شماره ركورد
11345
Latin Abstract
A commonly encountered issue in process industry is concerned with the detection of plant-wide oscillations. In this paper, a new
visualization tool termed as the power spectral correlation map (PSCMAP) is proposed for this purpose. The proposed colour map
is based on a new measure defined as the power spectral correlation index (PSCI). A simple clustering algorithm is developed to
group blocks of variables with similar spectral shapes. The combined visualization tool is shown to be simple, effective and powerful
in collecting variables with common frequency-domain behaviour in a multivariate process. The potential of the combined technique
is illustrated by an application to two industrial processes, (i) a simulated pulp and paper process and (ii) a SE Asia refinery.
From Page
931
NaturalLanguageKeyword
Power spectral correlation map (PSCMAP) , Power spectral correlation index (PSCI) , Plant-wide oscillation detection
JournalTitle
Studia Iranica
To Page
941
To Page
941
Link To Document