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

A technology of working status and intelligent diagnosis, applied in the field of CNC machine tools, can solve the problems of long modification and debugging cycle, low calculation efficiency, complex update algorithm, etc., and achieve the effect of shortening maintenance time, improving production efficiency, and small machine tool changes

Active Publication Date: 2019-06-07
SHANGHAI JIAO TONG UNIV +1
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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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  • Intelligent diagnosis method and device for abnormal working state of spindle system of machining center
  • Intelligent diagnosis method and device for abnormal working state of spindle system of machining center
  • Intelligent diagnosis method and device for abnormal working state of spindle system of machining center

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Embodiment Construction

[0044] The embodiments of the present invention are described in detail below. This embodiment is implemented on the premise of the technical solution of the present invention, and detailed implementation methods and specific operating procedures are provided, but the protection scope of the present invention is not limited to the following implementation example.

[0045] combine figure 1 , this embodiment describes in detail the intelligent diagnosis method for the abnormal working state of the spindle system of the machining center of the present invention, as figure 1 As shown, it includes the following steps:

[0046] S11: collect the current vibration signal of the spindle;

[0047]S12: Process the collected current vibration signal of the main shaft, extract the characteristic parameters of the current vibration signal of the main shaft, and obtain the characteristic vector reflecting the current state of the main shaft;

[0048] S13: Compare the eigenvector of the c...

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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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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G05B23/02
Inventor 许黎明周大朝陈龙根曹正捷时轮许凯许立新
Owner SHANGHAI JIAO TONG UNIV
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