Intelligent diagnosis method and device for abnormal working state of spindle system of machining center

Abstract

The invention discloses an intelligent diagnosis method and device for an abnormal working state of a spindle system of a machining center. The method includes the following steps: collecting a current vibration signal of a spindle; processing the collected current vibration signal of the spindle, extracting characteristic parameters, and obtaining a characteristic vector reflecting the current state of the spindle; comparing the characteristic vector of the current state of the spindle with the characteristic vector of the normal state of the spindle to judge whether the spindle is abnormal or not; and analyzing stored characteristic quantities reflecting the state of the spindle, and predicting the state change trend of the spindle. The device includes a data collection unit, a processing unit and an abnormality judgment unit connected in turn. The intelligent diagnosis method and device for an abnormal working state of a spindle system of a machining center are accurate in diagnosis, and can reduce the maintenance cost of the spindle of the numerical control machining center, shorten the maintenance time and improve the production efficiency.

Description

technical field [0001] The invention relates to the technical field of numerical control machine tools, in particular to an intelligent diagnosis method and device for an abnormal working state of a spindle system of a machining center. Background technique [0002] The spindle of the machining center is the heart of the machine tool, and its performance has a decisive impact on the performance, productivity and machining accuracy of the machine tool. With the development of electric spindle technology, the requirements for the reliability, service life, maintenance and operating costs of the spindle are becoming increasingly stringent, so the monitoring of working conditions is very important. Periodic or continuous observation of the running state of the spindle can prevent abnormal wear, overheating and In the event of abnormal conditions such as accidental damage, timely identify the state of the machine tool spindle and find early signs of failure, so that hidden troubl...

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Problems solved by technology

[0005] The above two patents have the following problems: Both of the above two patents require data processing on the upper computer of the machine tool, which requires a large change to the machine tool, a long period of modification and debugging, and high cost; more sensors need to be added, the algorithm is complex, and the calculation efficiency is not high. Complicated, and the algorithm cannot make corresponding improvements to random bed performance changes

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