Method for analyzing service state of numerical control equipment

Abstract

The invention relates to a method for analyzing the service state of numerical control equipment, belonging to the technology for monitoring the service state of major equipment and forecasting the service life of the major equipment. The method comprises the following steps: firstly, recognizing the service states of a plurality of the major parts of the numerical control equipment through the characteristic physical quantity acquired by a multisensor; then, forecasting the service state of the complete machine through a classification model of a support vector machine established by the statistical learning theory; and calculating the residual service lives of the major parts and the complete machine through a 'hidden semi-Markov' random process model. The method of the invention not only can be used for recognizing the current running states of the parts but also can be used for forecasting the residual service life of the parts. The current running state and the residual service life of the complete machine are obtained by the classification forecasting method of the support vector machine according to the operation result of each part. The invention provides a new method for decision support of preventive maintenance.

Description

technical field [0001] The invention belongs to the technology of service state monitoring and life prediction of major equipment, and specifically relates to a method for identifying the comprehensive service state of numerical control equipment and predicting its remaining service life, which can provide important information for reliability analysis and maintenance decision-making of numerical control equipment refer to. technical background [0002] As a working machine, CNC equipment is more and more popular in my country's manufacturing industry. Once the numerical control equipment, especially the important and critical equipment, breaks down suddenly during the work process, it will seriously affect the production efficiency of the enterprise and bring huge losses to the enterprise. In order to make the CNC equipment operate with almost zero faults, it is necessary to analyze the service reliability status of the CNC equipment in time, accurately predict its remaini...

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