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Acquisition of diagnostic knowledge from databases of examples

Moczulski W.

Prace Naukowe Instytutu Górnictwa Politechniki Wrocławskiej. Konferencje

1999

Vol. 86, nr 24

190-197

The diagnostics of machinery is nowadays aided by expert systems which require knowledge on the machine to be diagnosed. This knowledge may be acquired either from human experts or from databases containing examples. The paper deals with several methods of knowledge acquisition from examples. It addresses the whole range of problems starting from preparation of examples up to the verification and validation of the knowledge base which ends the proceeding. To acquire diagnostic knowledge from a dataset of examples we apply machine learning or knowledge discovery methods. We also describe a new method suitable for induction of rules which is especially useful in technical diagnostic of machinery where complex structure of a set of technical states often occurs. An example of the application of described methods for acquisition of diagnostic knowledge on rotating machinery is given, too.