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

Abstract

The invention discloses an online monitoring method for lubricating oil abrasive dust based on optical low-coherence imaging. The method comprises a step of imaging the abrasive dust, wherein the stepof imaging the abrasive dust specifically comprises the following steps of carrying out continuous optical low-coherence imaging on lubricating oil through a transparent window arranged in a lubricating oil circulation loop, and enabling a beam scanning surface of a scanning lens in an imaging process to be perpendicular to a flow direction of the lubricating oil in order to obtain a series of two-dimensional low-coherence images; converting the two-dimensional low-coherence images into binary low-coherence images; detecting an abrasive dust contour in each binary low-coherence image; and carrying out three-dimensional reconstruction on all detected abrasive dust contours along the flow direction of the lubricating oil in order to obtain three-dimensional surface morphology of the abrasive dust. Compared with the prior art, the method is better in real-time performance, higher in resolution, simpler in structure, and more convenient to build and debug.

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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