Failure correlativity dynamic change analysis method of numerically-controlled machine tool

A technology of correlation relationship and analysis method, which is applied in the field of dynamic change analysis of the correlation relationship of CNC machine tool faults, and can solve problems such as the degree of correlation of intricate multi-systems

Inactive Publication Date: 2014-08-06
JILIN UNIV
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Problems solved by technology

[0005] The purpose of the present invention is to overcome the existing technology can not determine the fault chain of mutual interference fault (I.F), there is the problem of the degree of correlation between the multi-system of intricate correlation relation, provide a kind of numerical control machine tool fault correlation dynamic change analysis method

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  • Failure correlativity dynamic change analysis method of numerically-controlled machine tool
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  • Failure correlativity dynamic change analysis method of numerically-controlled machine tool

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Embodiment

[0159] The present invention takes the complex correlation analysis among the three subsystems of the CNC machine tool as an example.

[0160] Step 1: Use FMECA analysis technology to process the fault data, divide the fault parts of each subsystem of the machine tool, and sort out the data with related faults.

[0161] The data comes from the 13-month production failure tracking records of 175 machine tools of the same model. After processing the fault data through FMECA analysis technology, find out the subsystems with correlation, refer to Figure 7 relation as an example.

[0162] After processing by FMECA method, the failure time points and related failure time points of each subsystem are obtained. The failure interval time value is calculated from the failure time points as the failure data. The daily working system of the machine tool is two shifts. Table 1 shows the data of the tool holder system process result. Its calculation formula is as follows:

[0163] ...

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Abstract

The invention discloses a failure correlativity dynamic change analysis method of a numerically-controlled machine tool, aiming to overcome the problem that the degree of correlation among a plurality of systems with an intricate correlativity in a failure chain of mutual interference failure (I.F) cannot be determined by the prior art. The failure correlativity dynamic change analysis method comprises the steps: 1, processing failure data by using an FMECA (Failure Mode Effects and Criticality Analysis) analysis technology, dividing failure parts of all subsystems of the machine tool, settling data of correlation failures among all subsystems; 2, analyzing correlation data, summarizing interaction forms among the relevant subsystems, and defining types and elements of failure chains; 3, specific to different correlation failure chains, solving a comprehensive failure rate of correlation failure subsystems by using a dependency relationship of independent failure rates, correlation failure rates and comprehensive failure rates, respectively establishing a correlation coefficient computing model of all failure chains, and forming a correlation coefficient model system of correlation failures; 4, considering the analysis of a maintenance policy of correlation failures.

Description

technical field [0001] The invention belongs to the technical field of numerical control machine tools, and relates to a method for analyzing related faults of numerically controlled machine tools, in particular to a method for analyzing dynamic changes of related relations of numerically controlled machine tools. technical background [0002] The existence of faults related to CNC equipment causes changes in its inherent failure rate. If the reliability design and distribution phase ignores the fault correlation between subsystems, the reliability design value will inevitably have a large error with the actual production value. At the same time, the existence of related faults, if predictive maintenance is carried out with the reliability of independent faults, will also cause a delay in the maintenance time node. There are four most typical correlation faults in system faults: series faults, negative correlation faults, common cause failures and mutual interference faults....

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F19/00
Inventor 王晓燕张英芝申桂香孙曙光谷东伟尹志勇赵佳
Owner JILIN UNIV
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