Applying KDD techniques to produce diagnostic rules for dynamic systems

Derek Sleeman, F Mitchell, R Milne

Research output: Working paperDiscussion paper

Abstract

This paper argues that there is a discernible trend in Knowledge Acquisition towards systems which are easier for the domain expert to use; such systems ask more focused questions and questions at a higher level. The TIGON system which illustrates this trend is described in some detail. So far TIGON has been used to infer fault detection and fault diagnosis rules for a gas turbine engine. But we argue that the methodology evolved here should make it suitable for use with a wide range of dynamic systems, including scientific ones. The relationship of TIGON to data mining is discussed as is the relationship of this system to other trends in KA, namely:

Co-operative systems for Knowledge Acquisition/Problem Solving
The re-use of existing knowledge(bases)
Original languageEnglish
Place of PublicationAberdeen University
Pages1-13
Number of pages14
VolumeAUCS
Publication statusPublished - Aug 1996

Fingerprint

Knowledge acquisition
Dynamical systems
Fault detection
Failure analysis
Data mining
Gas turbines
Turbines

Cite this

Sleeman, D., Mitchell, F., & Milne, R. (1996). Applying KDD techniques to produce diagnostic rules for dynamic systems. (TR9604 ed.) (pp. 1-13). Aberdeen University.

Applying KDD techniques to produce diagnostic rules for dynamic systems. / Sleeman, Derek; Mitchell, F; Milne, R.

TR9604. ed. Aberdeen University, 1996. p. 1-13.

Research output: Working paperDiscussion paper

Sleeman, D, Mitchell, F & Milne, R 1996 'Applying KDD techniques to produce diagnostic rules for dynamic systems' TR9604 edn, Aberdeen University, pp. 1-13.
Sleeman D, Mitchell F, Milne R. Applying KDD techniques to produce diagnostic rules for dynamic systems. TR9604 ed. Aberdeen University. 1996 Aug, p. 1-13.
Sleeman, Derek ; Mitchell, F ; Milne, R. / Applying KDD techniques to produce diagnostic rules for dynamic systems. TR9604. ed. Aberdeen University, 1996. pp. 1-13
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