Output details
12 - Aeronautical, Mechanical, Chemical and Manufacturing Engineering
Newcastle University
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Article title
Dynamic data rectification using particle filters
Type
D - Journal article
Title of journal
Computers & Chemical Engineering
Article number
-
Volume number
32
Issue number
3
First page of article
451
ISSN of journal
1873-4375
Year of publication
2008
Number of additional authors
2
Additional information
Significant research has previously been undertaken in the field of dynamic data rectification, and the research presented in this paper proposes and validates a new methodology which is applicable to cases where the process exhibits highly non-linear behaviour and the states are non-Gaussian, but is also able to detect outliers, process changes and the removal of measurement noise, all through the implementation of one algorithm. The results show significant improvements over existing models.
Interdisciplinary
-
Cross-referral requested
-
Research group
I - Process Modelling and Optimisation
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-