Knowledge acquisition method of fault diagnosis knowledge base of turn-milling combined machine tool

Abstract

The invention relates to a knowledge acquisition method of the fault diagnosis knowledge base of a turn-milling combined machine tool. The method comprises the following steps: 1. obtaining the fault history information and real-time monitoring information of the turn-milling combined machine tool; 2. performing signal processing, fault characteristic information extraction and data discretization to the fault history information and real-time monitoring information in turn, establishing a knowledge decision table of fault diagnosis by using fault characteristic attribute as condition attribute and fault pattern as decision attribute; 3. based on the established knowledge decision table, performing the reduction based on granule computing of fault characteristic attribute and the reduction of attribute value; and 4. using the confidence and coverage of the rules as evaluation indexes to measure and evaluate the reduced decision. The invention can obtain reduced and effective knowledge and rules for fault diagnosis from a great deal of on-line and off-line data so as to provide effective guarantee for fault diagnosis. The invention can be widely used for the fault diagnosis of various numerical control machine tools.

Description

technical field [0001] The invention relates to a method for diagnosing a fault of a numerically controlled machine tool, in particular to a method for acquiring knowledge of a fault diagnosis knowledge base of a turning-milling compound machine tool. Background technique [0002] As a typical electromechanical system of CNC machine tools, its fault diagnosis and early warning technology is one of the core technologies to ensure the reliable operation of machine tools and improve the service performance of machine tools. As one of the development directions of mechanical processing, compound processing is also a main direction of the development of numerical control equipment. The turning-milling compound machine tool combines the functions of turning and milling, which can realize turning and milling processing of parts in one clamping, reduce positioning errors and loading and unloading time, and greatly improve the processing accuracy and processing efficiency of parts. ...

AI Technical Summary

Problems solved by technology

At present, the representation of fault knowledge still adopts traditional production rules, frameworks, predicate logic and other forms, which cannot meet the needs of knowledge representation and knowledge acquisition; there is a lack of methods to quickly obtain fault characteristics

(3) When processing fault information, many redundant fault feature information are not only useless for fault diagnosis, but may increase monitoring costs and affect the accuracy of diagnosis

Images