Study On Monitoring Methods Of Information Fusion Technique For Automobile Engine Lubricating Oil

With the development of economy and the progress of technology, the number ofcar ownership is increasingly expanded. People are enjoying the convenience byautomobile and also aggravate the consumption of non-renewable energy resource.The pressing issue people face is how to reduce the consumption of automobileenergy. Ensuring the engine work under normal lubrication condition is one of thebest methods reducing the energy consumption. In order to guarantee the normal workof the automobile engine, the key is that the quality of the lubricants must be ensured.Recently information fusion technique based on multi-sensor technology hasbeen widely applied in all fields. Compared with the measurement technique based onsingle-sensor, the multi-sensor data fusion technique may improve the utilization rateand real-time of information system in solving system analysis judgment, the targettracking, identification and detection and so on. It may enlarge the coverage in spaceand time, advance the precision and reliability of system, enhance the robust andreliability of system, etc. The multilevel and aspects data obtained by multi-sensor ismore close to the true meaning compared with single sensor, can be also used as thebasis for the decision-making of the system.Information fusion technology applied to the monitoring oil can not onlyovercome the disadvantages of low testing speed and also improve the measurementaccuracy of on-line for single sensor. This paper based on this theory, the relationship between the quality and performance indicators of oil and the influence on dielectricconstant of oil are studied in paper.The relationship of structure group composition and quality of oil under theinfrared spectrum is also discussed. In finally the lubricating oil quality is analyzedand evaluated by the theory of multi-sensor data fusion and above two factors.First, the relationship between various index and dielectric constant of oil wasresearched. The index of physical and chemical characteristics for oil includemoisture content, iron content, acid value and insoluble matter content, etc. The testspecimens of various concentrations for above four indexes were mixed in lab. Thedielectric constant corresponding to various concentrations was examined andinvestigated the corresponding relationship between four indexes and dielectricconstant of oil. The feasibility to evaluate the oil quality index by the dielectricconstant was finally determined.Secondly, the chemical compositions of oil change with the degradation in usingprocess, the quantity of oxygen organic compounds contained of the acid, chromone,aldehydes and alcohols and functional group of nitrogenous nitration also change afterthe oil was be oxidized. The degree of degradation of oil may be showed by infraredspectroscopic analysis. The Essence is the distribution of carbon atoms in aromaticring, cycloalkane ring and alkyl chain. The basic is that some additivity of hydrocarbonmolecules may be showed to the absorption strength of infrared spectrum, spectralabsorption factor during characteristic spectral bands is nearly constant and theproperty that characteristic absorption peak with same structure in different moleculesis almost same spectral area. Furthermore, the method may also measure the contentof some additives and contamination in oil.The structure group composition, viscosity number and the value of moisturecontent was measured to show the indexes change in actual test.Finally, multi-sensor data fusion was analyzed. The acid value, moisture content,iron content and insoluble matter content obtained by measurement, and the viscosity,index of moisture content by infrared spectroscopic analysis was discussed by data fusion analysis. Two sub-neural network was established, a neural network to dealwith the physical and chemical indexes, the other to process the data by infraredspectra analysis. The complexity, dimension number and training time of NN wasreduced and by two NN. Then D-S evidential reasoning was carried out, two lowdimensions NN acted one of evidence theory. The output value processed wasregarded as the propositional basic reliability of frame of discernment and fused again.The precision of oil contamination degree and the utilization ratio of information resourcewere increased by this process. The faults that sole data source include imperfect information wasalso eliminated by it.