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Predictive maintenance system and method for machine tool spindle

A technology of machine tool spindle and maintenance system, applied in special data processing applications, instruments, electrical digital data processing, etc., can solve problems such as affecting production progress, and achieve the effect of avoiding unplanned machine shutdowns

Pending Publication Date: 2022-04-08
盛景智能科技嘉兴有限公司
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  • Description
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Problems solved by technology

[0004] The present invention provides a system and method for predictive maintenance of machine tool spindles, which are used to solve the defect in the prior art that the maintenance of the machine tool spindle after a failure causes the production progress to be affected

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  • Predictive maintenance system and method for machine tool spindle

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Embodiment Construction

[0033] In order to make the purpose, technical solutions and advantages of the present invention clearer, the technical solutions in the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the present invention. Obviously, the described embodiments are part of the embodiments of the present invention , but not all examples. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

[0034] At present, in most manufacturing enterprises, the maintenance of machine tool spindles still adopts the method of after-the-fact maintenance, and the failure of the spindle cannot be predicted in advance, resulting in unplanned shutdown due to the failure of the machine tool spindle, which affects production. Even, a serious spindle failure may cause a safety production accident. At ...

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Abstract

The invention provides a predictive maintenance system and method for a machine tool spindle. According to the system, vibration data of the machine tool spindle under the idle working condition are collected through a data collection unit. Based on analysis of the vibration data, the state monitoring unit displays the health state of the machine tool spindle; and meanwhile, the fault of the machine tool spindle is diagnosed through the health diagnosis unit, and a diagnosis result is input into the system. On-site operation and maintenance personnel can check and confirm the fault diagnosis result in the diagnosis confirmation unit and record the check result into the system. The diagnosis result query unit can query historical diagnosis results. In addition, the system configuration unit can flexibly adapt to system acquisition parameters, vibration thresholds and the like. Predictive maintenance of the machine tool spindle can be realized based on the system, and non-planned shutdown of the machine tool and influence on production caused by a post-maintenance method in a traditional method are avoided.

Description

technical field [0001] The invention relates to the technical field of equipment maintenance, in particular to a predictive maintenance system and method for machine tool spindles. Background technique [0002] The machine tool spindle is the most critical structure of the machine tool and the most direct load-bearing part in the process of machine tool processing. It bears complex dynamic loads during the process of machine tool processing, and spindle failures occur from time to time. The health status of the machine tool spindle is directly related to whether the machine tool can be produced normally. Serious sudden failures of machine tool spindles may even cause safety production accidents. [0003] At present, in most manufacturing enterprises, the maintenance of machine tool spindles still adopts the method of after-the-fact maintenance, which leads to unplanned downtime due to machine tool spindle failures and affects production. Even, a serious spindle failure may...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/00G06F16/2458G06F16/248G06F17/18
Inventor 朱瑜丁茂起翁艳
Owner 盛景智能科技嘉兴有限公司
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