The use of classification methods for gross error detection in process data

The use of classification methods for gross error detection in process data

Thesis (MScEng)-- Stellenbosch University, 2013. === ENGLISH ABSTRACT: All process measurements contain some element of error. Typically, a distinction is made between random errors, with zero expected value, and gross errors with non-zero magnitude. Data Reconciliation (DR) and Gross Error Detect...

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Bibliographic Details
Main Author: Gerber, Egardt
Other Authors: Auret, L.
Format: Others
Language:en_ZA
Published: Stellenbosch : Stellenbosch University 2013
Subjects:
Classification methodologies
Dissertations > Process engineering
Process control > Statistical methods
Gross error detection
Data reconciliation
Error-correcting codes
Theses > Process engineering
Online Access:http://hdl.handle.net/10019.1/85856

Internet

http://hdl.handle.net/10019.1/85856

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