Oil Analysis Method Of Metal Particle Contamination On-line Monitoring Of Frequency

With the rapid development of modern industry, hydraulic device was appeared inall areas of social production and life. But with the wide application of the hydraulicsystem, the usage of oil, which is very important for hydraulic system, become moreand more. And the waste oil caused serious influence on environment, as well as giveharm to human beings. The hydrocarbon compounds in oil will have a direct and seriousharm to the person’s nervous system, respiratory system, urinary system, blood systemand circulation system. Waste oil enter into the atmosphere through volatilize, gaseousvolatiles and other harmful gas will occur physical and chemical reaction afterirradiated by the sun ultraviolet, and induce the photochemical smog, generate strongcarcinogen substance. Volatile oil is one of the factors of ozone hole and greenhouseeffect, that both are global environment problems. Waste oil will also result in waterpollution, leading to water environmental degradation, and endanger the survival ofaquatic biological. Therefore, control the oil pollution has important significance on theprotection of ecological environment. The existing ways to control oil pollution are usebioremediation and chemical degradation. But except the purification of waste oil.Monitoring the pollutants in oil in order to control the oil contamination degree inadvance is another way to reduce the production of waste oil. And it will be a better wayto avoid oil pollution.Firstly, this paper analyzes the source and variety of oil pollutant, and points outthat the particle pollutant is the main reason to harm health of oil. The particle pollutantis also the important reason to produce waste oil. So this article focuses on theimprovement the monitoring equipment and technology of oil particle pollutant. Aftercompared with the advantages and disadvantages of traditional detection methods, thewear debris sensor was chosen as the research object of this paper.Secondly, the principle of wear debris sensor was introduced in detail. Inevitably,the particle signature is contaminated by environment noise easily, so some signalprocessing methods are need to remove the noise and extract the particle signature.After analyzing the advantages and disadvantages of traditional signal processingmethods, a Maximal overlap discrete wavelet transform method was put forward in this paper. Using the maximum overlap discrete wavelet transform to process simulationsignal can extract particle signature successfully. Unfortunately, because decompositiondepth was set inappropriate, that causes an ideal extraction effect.To solve this problem, a mean square deviation of kurtosis value of the segmentedsignal residue criterion was put forward to find the optimal decomposition depthadaptively. Combine it with the maximum overlap discrete wavelet transform, canimprove the extraction effect of particle signature. Applied this method in practice, theresults show that the time-frequency analysis method can effective monitoring to theparticles in oil. At the same time, through the conversion between sensor signal and data,we can get the actual information of the particle pollutants. The maximal overlapdiscrete wavelet transform with optimal decomposition depth can improve the accuracyof oil particle pollutants monitoring, that provide a basis for oil pollution control. It canreduce the production of waste oil and make a contribution to protect environment.Finally, the main conclusions of this paper were summarized, and a looks forwardto the development trend of the oil particles pollutants monitoring was put forward.