Knowledge Enterprise: Intelligent Strategies in Product Design, Manufacturing, and Management

Abstract

In this paper, aiming at the fault phenomenon of many colliery electromechanic equipments can't be expressed with the structural data, and the traditional expert system that based on the rule reasoning is very difficult to extracting the rule, put forward a kind of method that regard the numerous diagnosis case examples in the past and the faults that possibly occur and the elimination project as the knowledge source. It set up a structure frame of the data mining system that was adopted in the fault diagnosis of the colliery equipments, which based on the association rule, and discuss the data mining based on the association rules of the single layer fault and the multilayer fault in the colliery equipments system. © 2006 International Federation for Information Processing.