Intelligent fault diagnosis method for numerical control machine

Abstract

The invention provides an intelligent fault diagnosis method for a numerical control machine, which comprises the following steps: (1) determining a fault characteristic parameter set, a fault type set and a sample set; (2) according to the fault characteristic parameter set and the fault type set, establishing a support vector machine model; (3) training and optimizing a support vector machine by utilizing the sample set; (4) detecting a plurality of fault characteristic parameters of the numerical control machine and using the plurality of fault characteristic parameters as a data source of fault diagnosis; and (5) inputting the data source into the optimized support vector machine to obtain a fault diagnosis result. In the invention, according to the occurrence mechanism and the characteristics of faults of parts of the numerical control machine, when the parts of the numerical control machine have the faults, the numerical control machine is detected and detection data is input into the least squares support vector machine after being processed, so that a diagnosis result can be obtained. According to the invention, the rapid and effective fault diagnosis for the numerical control machine is implemented and the intelligent fault diagnosis method also has strong fault diagnosis capacity, high diagnosis rate and low misdiagnosis rate.

Description

technical field [0001] The invention belongs to the field of fault diagnosis, and in particular relates to an intelligent fault diagnosis method for a numerically controlled machine tool. Background technique [0002] At present, the application of CNC machine tools in modern manufacturing industry is becoming more and more popular, but the CNC machine tools often break down during use, which makes the continuous production system unable to work normally. If the equipment fails to detect and eliminate it in time, it will not only cause damage to the machine tool itself, but may even cause serious consequences of machine crash and death. Therefore, in actual production, use shorter time and lower maintenance cost to make accurate judgments on the failures of CNC machine tools in a timely manner, find out the location of the failure, find out the cause of the failure and how to eliminate it, which can greatly reduce the blindness of maintenance It is of great significance to ...

AI Technical Summary

Problems solved by technology

[0015] However, the above several fault diagnosis methods still cannot fundamentally solve the problem of rapidity and accuracy of fault diagnosis of CNC machine tools.

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