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Coals Analysis by Sample Study

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CONTRIBUTORS:
  Author Lorentz JÄNTSCHI (Technical University of Cluj-Napoca)
  Author Elena M. PICA
PROCEEDINGS TITLE:
  UNITECH'03 International Scientific Conference
YEAR: 2003
PUB TYPE: Conference Paper in Proceedings
PAGES: 263 - 266
SUBJECT(S): chemistry - inorganic; chemistry - physical; mathematics - statistics; research - methodology
DISCIPLINE: Geology
HTTP: http://lori.academicdirect.org/conferences/work_list.php?user=lori&id=78
LANGUAGE: English
PUB ID: 103-435-267 (Last edited on 2007/06/16 06:15:51 GMT-6)
SPONSOR(S):
 
ABSTRACT:
A statistical study of analysis results was made for lignite from the Fãrcãºeºti area (Gorj County, Romania), exemplified for the eight characteristic properties, as moisture content (imbibitions and hygroscopic), volatile, density, sulfur, ash softening content, higher heating value and seam. Previously, the properties dependencies were investigate in pairs of two. In present study the properties was investigated using an automat processing routine for multivariate regression, available at address:
http://vl.academicdirect.ro/applied_statistics/linear_regression/multiple/v1.5/
The program is capable to identify multiple dependencies between given properties. Few significant results were obtained, that make possible to simplify analysis procedure of coals by reducing number of determinations and/or measured properties. All equations are made for predicting heating value Qsi from other measured properties excluding fixed carbon content Cfi. Present article is focused on identifying dependencies between Wii, Whi, Vi, Sti, Qsi, ti, ro and seam (see text). Application of the model among others at prospecting new coalfields and coal conversion, can contribute to the reduction of drilling and analysis costs.
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