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Design And Research Of Online Wear Particle Monitoring System For Lubricating Oil

Posted on:2014-06-26Degree:MasterType:Thesis
Country:ChinaCandidate:W P FengFull Text:PDF
GTID:2268330392464174Subject:Control theory and control engineering
Abstract/Summary:PDF Full Text Request
Lubrication oil on-line monitoring can get early fault information of rotatingequipments, and has the advantages of continuity and real time. In order to detect the sizeand concentration of oil ferromagnetic wear particles, in this paper an online lubricationoil particle monitoring system has developed. Main work is as follows:First of all, this paper introduces the basic working principle of differentialtransformer wear particles monitoring sensor with spiral pipe in detail, discusses the mainperformance index of the sensor, analysis the causes of the zero residual voltage in thesensor, and designs the zero residual voltage compensation method.Secondly, in this paper, hardware and software of the system was designed.Hardware part includes front-end control analog circuits and digital circuits. Front-endanalog conditioning main zero residual voltage for signal compensation, preamplifier, aband-pass filter, true RMS conversion and zero amplification. True RMS conversionconverts zero residual voltage to stable dc signal, and keeps the useful information, this isone of the innovation points here. Digital circuit selects S3C2440which based onARM920T core as the microprocessor of the system, and designs the LCD interface, SDcard interface, USB interface, JTAG interface and some related modules. The softwarepart mainly uses ADS development environment to realize the function of digital circuitrelated modules, and innovatively uses locally weighted scatterplot smoothing (LOWESS)and extreme value conversion in the pretreatment of collected data.At last on the basis of debugging front-end control of analog circuit, an experimentplatform is built. Through the analysis of different particle sizes ferromagnetic particlesmonitoring data, and verify the effectiveness of the online wear particle monitoring systemand feasibility in industrial application.
Keywords/Search Tags:online monitoring, lubrication, wear particle analysis, signal processing
PDF Full Text Request
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