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Device for overall machine tool monitoring

A machine tool, the whole technology, applied in the field of faulty devices, achieves the effect of simple structure and easy learning

Inactive Publication Date: 2009-10-14
PANASONIC ELECTRIC WORKS CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In addition, the abnormality may also be caused by a fault in the machine tool and an abnormal state of the connection of the tool or an abnormal state of the contact between the tool and the workpiece

Method used

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  • Device for overall machine tool monitoring
  • Device for overall machine tool monitoring

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Experimental program
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Embodiment Construction

[0016] Hereinafter, embodiments of the present invention will be described with reference to the accompanying drawings that constitute a part hereof.

[0017] A machine tool exemplified in the embodiments described below has a tool rotationally driven by a drive unit. There are a variety of machine tools used for machining operations, such as cutting or polishing in a machine tool. Any driving source using a motor may be used as the driving unit, and an appropriate power transmission unit such as a gearbox or a belt may be provided between the driving source and the tool. In the following, a main shaft with a housing is used as an example of a drive unit.

[0018] Such as figure 1 As shown, the device for monitoring the entire machine tool described in this embodiment uses, for example, unsupervised competitive learning neural networks 1a and 1b (hereinafter, if there is no other specific purpose, simply referred to as neural network). A supervised backpropagation type neur...

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Abstract

The first and second neural networks respectively classify the feature quantities extracted from the target signal generated when the machine tool is idling before machining the workpiece and when the machine tool is machining the workpiece into normal and abnormal categories. Based on the classification results from the first and second neural networks, the deviation history between the weight coefficients of the neurons included in the output layer in the first neural network and the feature quantities extracted by the first feature extraction unit, and including The deviation history between the weight coefficients of the neurons in the output layer in the second neural network and the feature quantities extracted by the second feature extraction unit, the judging unit judges whether there is before the workpiece is processed by the machine tool and when the workpiece is processed by the machine tool Abnormal, and determine whether there is a fault in the machine tool.

Description

technical field [0001] The present invention relates to a device for overall machine tool monitoring, and more particularly to a device for monitoring anomalies existing in a machine tool before and during a machining operation, and further for detecting faults in the machine tool. Background technique [0002] Conventionally, there has been known a technique for detecting vibrations generated during machine tool processing in order to monitor grinding stone chatter, unbalance, etc. during machine tool processing. To detect vibrations, acceleration or acoustic emissions are monitored (see, for example, Japanese Patent Laid-Open Application No. H8-261818). [0003] The patent reference discloses a technique for judging the presence of grinding stone chatter, imbalance, etc. by monitoring the frequency spectrum. However, it is not possible to monitor the spectrum all the time. Therefore, practical use of this technology in machine tools is not feasible. For practical use, a...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): B23Q17/00G01H1/00G01M7/02G06N3/06
CPCG01H1/003G01H1/12G05B19/406G05B2219/33296G05B2219/37435
Inventor 池田和隆
Owner PANASONIC ELECTRIC WORKS CO LTD
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