Abrasion rapid detection device and method based on abrasive particle image automatic acquisition and analysis

Abstract

The invention discloses a rapid wear detection device and method based on automatic collection and analysis of abrasive particle images, the detection device comprises an optical imaging unit and a control unit, the optical imaging unit is used for obtaining abrasive particle pictures and / or videos online; the control unit comprises an image sensor, an undisturbed micro-flow abrasive particle sensor, a data processing and control module and the like. The data processing and control module is connected with the optical imaging unit, the undisturbed micro-flow abrasive particle sensor and the image sensor. Compared with the prior art, the method has the advantages that the abrasive particle image can be quickly and automatically monitored in the full life cycle of the mechanical equipment, the wear state information of the mechanical equipment can be adaptively and visually acquired in real time, the service life of the mechanical equipment can be accurately predicted, and the method has wide application prospects and great value.

Description

technical field [0001] The invention relates to a mechanical wear detection method, in particular to a fast wear detection device and method based on automatic collection and analysis of abrasive grain images, and belongs to the technical field of online wear state monitoring of tribological systems. Background technique [0002] At present, about 80% of the machine parts fail due to wear, and more than 50% of the vicious accidents of mechanical equipment are caused by lubrication failure and excessive wear. For some special vehicles and aviation systems, due to long-term service in extreme and all-weather conditions, the friction and wear performance of their power systems has become a technical bottleneck for their reliability. my country's industry has been using off-line ferrography technology to carry out equipment wear analysis. With the upgrading of mechanical equipment maintenance technology, off-line ferrography analysis technology has become an important means of m...

AI Technical Summary

Problems solved by technology

However, the above methods have the following problems in the acquisition and prediction of wear state fault signals: (1) It is difficult to obtain prior knowledge of fault characteristics; (2) The processing of blind source signals is not accurate; (3) Early wear status unrecognizable

Wear particle image analysis has unique advantages in wear mechanism analysis, but the existing off-line ferrography image analysis methods cannot meet the requirements of on-line monitoring

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