Knowledge acquisition method of fault diagnosis knowledge library 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 knowledgeand 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 fault diagnosis method for a numerically controlled machine tool, in particular to a knowledge acquisition method for a fault diagnosis knowledge base of a turning and milling compound machine tool. Background technique [0002] As a typical electromechanical system, CNC machine tool's fault diagnosis and early warning technology is one of the core technologies to ensure the reliable operation of the machine tool and improve the service performance of the machine tool. As one of the development directions of mechanical processing, composite processing is also a main direction of the development of CNC equipment. The turning and milling compound machine tool combines the functions of turning and milling, which can realize the turning and milling of the parts in one clamping, which reduces the positioning error and loading and unloading time, and greatly improves the machining accuracy and processing efficiency of the parts. D...

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

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