The oil contamination level testing is important for its using and maintenance which is the basement of the oil
contamination control is required higher by the developing device system, and the testing method is urgently needed to
be studied for improving the process method and the maintenance quality of the contaminated oil. To classify the level of
particles contamination in lubricant, CCD imaging technology is used to capture microscopic digital image of the oil
particles sample . The digital image was processed and segmented in order that the computer can recognize and
understand the particle targets by using image testing algorithm to measure the sizes, amounts and distributions of
particles. The oil contamination level can be measured effectively by the economical and convenient method in which
there is little air bubble and bead leading to false particle targets. To improve the influence produced by the false particle
targets, One method is that a series of dynamical image samples from the contaminated oil in the multi-period and the
multi-state are captured and used to test the particle targets, and the further method is to employ the fuzzy measurement
using Gaussian subjection function, which describes the distribution of the standard evidences and the distribution of the
testing data, and the testing probabilities of the evidence are weighed by the matching degree of the two distributions,
which is used to classify the oil particles contamination level .The test shows that the oil particles contamination level
diagnosis reliability is improved and the diagnosis uncertainty is reduced. This method combining with other testing
methods by using the multi-information fusion method will be further studied later.
To control oil contamination is one of the most important tasks in operating a mechanical device. Oil contamination
level is a quantitative parameter used to determine the level of contamination by measuring the number, sizes and
distributions of solid particles in an oil substance. According to classification standards of particles contamination level,
a novel method with microscopic digital image processing is proposed to measure it. At first the oil sample to be
measured is filtered by a vacuum assisted device to gather the solid particles. The filter paper is placed in between two
glasses, and the microscopic digital images of it are captured by an optical microscope and a Charge Coupled Device
(CCD) camera. The images are then segmented and extracted accordingly. After processing these images, binary images
are produced to facilitate the measurement of particle size distribution, which is used to classify the contamination level.
Thanks to the application of microscopic digital image processing, the proposed method is able to produce a reliable
result with much cheaper expense, which was proven by the results of an experiment.
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