Hajrudin Efendic, Andreas Schrempf, Luigi del Re,
"Data based fault isolation in complex measurement systems using models on demand"
: Safeprocess 2003, Seite(n) 1149-1154, 6-2003
Original Titel:
Data based fault isolation in complex measurement systems using models on demand
Sprache des Titels:
Englisch
Original Buchtitel:
Safeprocess 2003
Original Kurzfassung:
Fault detection in complex plants has to cope with substantial problems due to the very large data amount. In many cases, adequate plant descriptions are not available, so that models has to be built up on line. To achieve this in a sensible time, data have to be sorted and this almost always leads to an information compression. While this proves very helpful to detect faults, it represents a serious obstacle for the identification of the faulty channel, as the existing partial models do not usually span a full measurement space or do it with a very poor condition. This paper proposes to use a double technique to achieve this end, first improving the fault isolation process through a gradient based method, but then recurring to model-on-demand methods which can be used to complete the required measurement space to yield the precise fault channel information.
Sprache der Kurzfassung:
Englisch
Seitenreferenz:
1149-1154
Erscheinungsmonat:
6
Erscheinungsjahr:
2003
Anzahl der Seiten:
6
Notiz zur Publikation:
5th IFAC Symposium on Fault Detection, Supervision and Safety of Technical Processes; June 9-11, 2003; Washington D.C., USA
Forschungs-