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An online state monitoring method for ball screw pair

A technology of ball screw pair and lead screw pair, which is applied in the direction of measuring device, measuring ultrasonic/sonic wave/infrasonic wave, instrument, etc., can solve the problem of undesigned equipment condition monitoring method, achieve safe and efficient operation, improve the integrity rate, avoid The effect of downtime

Active Publication Date: 2020-10-02
哈工大机器人(山东)智能装备研究院
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Problems solved by technology

The patent focuses on fault diagnosis, and the patent does not design a state monitoring method during the online operation of the equipment, that is, whether the equipment is in normal state, critical degradation or failure at each moment

Method used

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  • An online state monitoring method for ball screw pair

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Embodiment Construction

[0028] The present invention will be described in detail below in conjunction with the accompanying drawings.

[0029] An online state monitoring method for a ball screw pair, such as figure 1 shown, including the following steps:

[0030] Step a. Install vibration sensors on the bearing supports at both ends of the screw sub-system and on the screw nut respectively. The vibration sensors are all three-channel vibration sensors, and the signal of one channel is selected in each vibration sensor as the original signal for health assessment ;

[0031] Step b, in the online stage, collect vibration signal data for 15 seconds every 1 minute, and the vibration signal data for every 15 seconds is a sample; for each sample, perform preprocessing by wavelet noise reduction;

[0032] Step c, the preprocessed signal is subjected to feature extraction, and 14 feature values ​​are extracted from time domain and frequency domain space;

[0033] Step d, filter out important eigenvalues ​...

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Abstract

The invention relates to an online state monitoring method for a ball screw pair and belongs to the technical field of machinery. The method comprises steps that three-way vibration sensors are mounted on bearing supports and nuts at both ends of a screw pair system, at the online phase, 15 seconds of vibration signal data is acquired every 1 minute, and 15 seconds of the vibration signal data isa sample; preprocessing, feature extraction and dimensionality reduction are performed by wavelet noise reduction; when the number of samples reaches 10, the data is inputted into a trained model, andoutput is labels corresponding to normal samples and failed samples; an operating state of a lead screw is monitored through the ratio of the normal labels to the failed labels outputted by the model; when the lead screw is critically degraded or fails, an alarm system is triggered, and corresponding components are positioned. The method is advantaged in that the operating state of a screw systemcan be monitored online, the equipment downtime is avoided, safe and efficient operation of the equipment is guaranteed, integrity of the equipment and the completion rate of tasks are improved, andeconomic benefit of enterprises is enhanced.

Description

technical field [0001] The invention belongs to the technical field of machinery, and in particular relates to an online state monitoring method of a ball screw pair. Background technique [0002] With the continuous improvement of the level of industrialization and the continuous progress of intelligent manufacturing technology, the condition monitoring of equipment has gradually become a research hotspot. Equipment condition monitoring is an important part of equipment health management and failure prediction. The status monitoring of equipment can monitor its operating status in real time, so as to correctly reflect the health status of its operation before failure occurs. As an important transmission component, ball screw is widely used in CNC machine tools and other industrial equipment. Its safe and normal operation has an important impact on the quality of processed parts and processing efficiency. Therefore, it is necessary to monitor its health status. [0003] ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01H17/00G06F17/18
CPCG01H17/00G06F17/18
Inventor 单鹏飞古乐侯朋于林明
Owner 哈工大机器人(山东)智能装备研究院
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