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Abnormal detection method of machine tool spindle

An anomaly detection, machine tool spindle technology, applied in measurement/indication equipment, metal processing mechanical parts, metal processing equipment, etc., can solve problems such as limited application scenarios, improve real-time performance, save data communication bandwidth and server computing resources , the effect of improving the robustness

Active Publication Date: 2019-06-21
CYBERINSIGHT TECH CO LTD
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Problems solved by technology

This method is only applicable to the detection of bearing wear and broken rotor bars of electric spindles, and the applicable scenarios are limited

Method used

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  • Abnormal detection method of machine tool spindle
  • Abnormal detection method of machine tool spindle
  • Abnormal detection method of machine tool spindle

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Experimental program
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Effect test

Embodiment

[0052] In order to more intuitively describe the abnormality detection method of the machine tool spindle based on edge computing and variable speed no-load test of the present application, a specific embodiment is given below. The equipment used in this embodiment includes a CNC machine tool (numerical control machine tool), a three-axis vibration acceleration sensor, a high-performance edge embedded device with three high-speed analog-to-digital (ADC) acquisition channels, and a server. Specific steps are as follows:

[0053] (1) Install a vibration sensor at the end of the CNC machine tool spindle shell near the tool handle to measure the vibration signal when the spindle rotates. The sensitivity of the vibration sensor can be, for example, 5 mV / g, and the frequency measurement range is 2-8000 Hz.

[0054] (2) The output signal of the vibration sensor is connected to the three ADC acquisition channels of the edge embedded device. The sampling rate of the ADC is 25.6kHz and...

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Abstract

The invention relates to an abnormal detection method of a machine tool spindle. The abnormal detection method of the machine tool spindle comprises the following steps of machine tool spindle variable speed no-load test, data preprocessing and feature extraction, and model training and model prediction. Variable speed no-load test data are used for performing data analysis and spindle health condition modeling; data preprocessing and feature extraction algorithms are deployed to an edge device and carried on; and principal component analysis (PCA) algorithm is used for establishing a baselinemodel of the spindle health condition, and a residual error (SPE) of a model predicted value and HotellingT2 statistical magnitude (T2)are calculated to detect spindle anomaly. The abnormal detectionmethod of the machine tool spindle can realize real-time monitoring of the machine tool spindle health condition, accurately predict spindle anomaly, and has good operability and universality.

Description

technical field [0001] The present application relates to a method for detecting abnormalities of machine tool spindles, in particular to a method for detecting abnormalities of machine tool spindles based on edge computing and variable speed no-load testing, which is applicable to the technical field of machine tool fault detection. Background technique [0002] Spindle is the core component of CNC machine tools, and it is usually expensive. Once damaged, the cycle of repair, replacement or purchase will be long, which will cause long-term downtime of the machine tool and affect the production plan. The purpose of abnormal detection of the spindle is to detect the abnormal condition of the spindle in time, so as to maintain the spindle in the early stage of failure to avoid serious failure, or arrange the purchase of spare parts for the spindle in advance to avoid long-term machine downtime. At present, the abnormal detection of the spindle is generally based on manual impl...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): B23Q17/00
Inventor 干瑞晋文静梁飞
Owner CYBERINSIGHT TECH CO LTD
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