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Intelligent tool fault diagnosis method

A diagnostic method and fault diagnosis technology, applied in the direction of manufacturing tools, metal processing machinery parts, measuring/indicating equipment, etc., can solve problems that affect production efficiency, consume large labor costs, and consume economic costs, so as to reduce labor costs and adapt to High performance and high accuracy

Inactive Publication Date: 2019-05-10
BEIJING INFORMATION SCI & TECH UNIV
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Problems solved by technology

[0002] At present, tool fault diagnosis is carried out by regularly unloading the tool and observing with the naked eye, and judging whether the tool is seriously worn according to the shape of the tool and the experience of the operator. This way of judging tool faults is not linear and intelligent, and requires a lot of labor. Cost, if tool diagnosis is performed frequently, it will also affect production efficiency and consume economic costs

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Embodiment Construction

[0028] The present invention will be described in detail below in conjunction with the accompanying drawings and embodiments.

[0029] The present invention provides a kind of intelligent tool fault diagnosis method, it comprises the following steps:

[0030] 1) Obtain the three-phase current signals generated by the total motor during the machining process of the machine tool: the vibration signal generated by the tool cutting, the cutting force signal and the acoustic emission signal. And analyze and process the various signals collected, and extract the sensitive features of the tool;

[0031] The steps of the extraction method of tool sensitive features are as follows:

[0032] 1.1) Collect the three-phase current signals generated by the total motor in n different wear stages of the tool: the vibration signal generated by the tool cutting, the cutting force signal and the acoustic emission signal.

[0033] 1.2) Time-domain analysis is performed on various collected sign...

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Abstract

The invention relates to an intelligent tool fault diagnosis method. The method comprises the following steps that three-phase current signals, namely vibration signals produced by tool cutting, cutting force signals and acoustic emission signals generated by a total motor during machining of a machine tool are obtained, the collected various signals are subjected to data analysis processing, andtool sensitive features are extracted; according to the tool sensitive features, a corresponding relation between tool signal features and tool abrasion faults is built, and therefore intelligent recognition for the tool abrasion faults is completed. According to the features of the three-phase current signals, the vibration signals, the acoustic emission signals and the cutting force signals in the tool machining process, tool abrasion faults are automatically detected, and the tool abrasion state can be automatically recognized.

Description

technical field [0001] The invention relates to a tool fault diagnosis method, in particular to an intelligent tool fault diagnosis method used in the field of detection instruments. Background technique [0002] At present, tool fault diagnosis is carried out by regularly unloading the tool and observing with the naked eye, and judging whether the tool is seriously worn according to the shape of the tool and the experience of the operator. This way of judging tool faults is not linear and intelligent, and requires a lot of labor. Cost, if tool diagnosis is performed frequently, it will also affect production efficiency and consume economic costs. Therefore, it is necessary to find a method that can automatically monitor tool faults online, can monitor independently, and automatically identify tool wear status. Contents of the invention [0003] In view of the above problems, the object of the present invention is to provide an intelligent tool fault diagnosis method, whi...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): B23Q17/09
Inventor 孙巍伟黄民何一千
Owner BEIJING INFORMATION SCI & TECH UNIV
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