Automatic clustering with application to time dependent fault detection in chemical processes

Automatic clustering with application to time dependent fault detection in chemical processes

Fault detection and diagnosis presents a big challenge within the petrochemical industry. The annual economic impact of unexpected shutdowns is estimated to be $20 billion. Assistive technologies will help with the effective detection and classification of the faults causing these shutdowns. Cluster...

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Bibliographic Details
Main Author: Labuschagne, Petrus Jacobus
Other Authors: Mr C Sandrock
Published: 2013
Subjects:
Time delay estimation
Dimensional reduction
Clustering algorithms
Fault detection
UCTD
Online Access:http://hdl.handle.net/2263/26092
Labuschagne, PJ 2008, Automatic clustering with application to time dependent fault detection in chemical processes, MEng dissertation, University of Pretoria, Pretoria, viewed yymmdd < http://hdl.handle.net/2263/26092 >
http://upetd.up.ac.za/thesis/available/etd-07062009-142237/

Internet

http://hdl.handle.net/2263/26092
Labuschagne, PJ 2008, Automatic clustering with application to time dependent fault detection in chemical processes, MEng dissertation, University of Pretoria, Pretoria, viewed yymmdd < http://hdl.handle.net/2263/26092 >
http://upetd.up.ac.za/thesis/available/etd-07062009-142237/

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