Online Monitoring Method of Lubricating Oil Wear Debris Based on Optical Low Coherence Imaging

Abstract

The invention discloses an online detection method of lubricating oil wear debris based on optical low-coherence imaging. The method includes the step of imaging wear debris, and the step of imaging wear debris is specifically as follows: continuous optical low-coherence imaging of the lubricant oil through a transparent window provided in the lubricant oil circulation loop, and scanning the lens during the imaging process The beam scanning surface is perpendicular to the oil flow direction to obtain a series of two-dimensional low-coherence images; the two-dimensional low-coherence images are converted into binary low-coherence images; the wear and tear in each binary low-coherence image is detected. Chip contours; perform three-dimensional reconstruction of all detected wear chip profiles along the oil flow direction to obtain the three-dimensional surface morphology of the wear chips. Compared with the existing technology, the present invention has better real-time performance, higher resolution, simpler structure, and more convenient construction and debugging.

Description

technical field [0001] The invention discloses an online detection method of lubricating oil wear debris, which can detect the information of lubricating oil wear debris in real time, thereby judging the health status of equipment, and belongs to the technical field of mechanical equipment health monitoring. Background technique [0002] At present, there are two main methods for detecting metal abrasive particles in lubricating oil of mechanical equipment: off-line and on-line detection. The off-line detection method has the advantages of high detection accuracy, can accurately determine the type and element composition of metal particles, and the particle shape characteristics, etc., but it takes a lot of time to collect oil samples and data, and it usually takes more than an hour to analyze an oil sample, or even as long as several months. A large amount of data shows that the offline detection method consumes a lot of manpower, material resources and time, and it is dif...

AI Technical Summary

Problems solved by technology

[0003] At present, most wear debris online monitoring technologies can only monitor the quantity and type (ferromagnetic and non-ferromagnetic) of wear debris, and cannot perform feature extraction and identification of wear debris images; in addition, various existing sensors can The size range of the monitored wear debris is incomplete, and the wear stage cannot be accurately judged. In the future, the size range of the wear debris monitoring should strive to reach 1 ~ 1000um

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