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Title: Condition monitoring in steel industry
Author: Sandberg, Erik
ISNI:       0000 0001 3550 1559
Awarding Body: Manchester Metropolitan University
Current Institution: University of Manchester
Date of Award: 2008
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This thesis presents investigations about the applicability of different multivariate statistical methods (OLS, PCA, PCR, PLS) for condition monitoring of steel industry processes (electric arc furnaces and blast furnaces). The work has been focused on three main areas; condition monitoring of blast furnaces (BF), charge material mix optimisation for electric arc furnaces (EAF) and batch-monitoring of EAFs.
Supervisor: Not available Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID:  DOI: Not available