信息融合技术, 油液品质, 评价方法, 神经网络

An oil quality evaluation method based on multi-sensor information fusion technology was presented, and its two-integration models were established,and a neural network model for solving two-integration models was developed. With the advantages of multi-source information technology, a comprehensive assessment of oil quality was implemented. Examples and experiments for demonstrating neural network training process and its results were given. The examples and experiments show that four kinds of oil samples predict the results origined from the evaluation method based on multi- information fusion technology are consistent with the actual ones. The comparison between trend projections and actual tests also show the correctness of the oil quality evaluation model. The proposed multi-information fusion technology for oil product quality evaluation method improves the evaluation precision and reduces dependence of technical personnel experience.

information fusion technology, oil quality, evaluation method, neural network