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中文摘要：
针对发动机磨损过程的复杂性和不确定性，对磨粒数量特征信息进行了模糊化。引进了信息论中一种新的模糊子集间的距离度量——对称模糊交互熵（SFCE）的概念，并结合模糊相对权重对其计算方法进行了改进，提出了基于对称模糊交互熵的发动机磨损模式识别方法。计算结果表明，SFCE方法能够实现发动机油样磨损模式的分类，具有很好的识别效果。
英文摘要：
Due to the complexity and uncertainty of the engine＇s wear process, the fuzzy set theory was employed to measure the characteristic information of worn particles. Based on the information theory, a new distance measure for fuzzy sets named symmetric fuzzy cross entropy （SFCE） was introduced. Combined with the fuzzy relative weight （FRW）, the calculation method of SFCE was modified. Then a new method for wear pattern recognition of engine based on SFCE was proposed. The calculation vesults show that SFCE method can realize the classification of the engine condition monitoring and fault diagnosis, and has a better recognition effect.
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