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利用模糊数学原理构造了实验数据经验分布与颤振信号理论分布的贴近度，探讨了颤振状态的模糊识别问题，并基于Ｃ语言给出一个颤振状态的模糊识别系统。试验考证表明：系统对颤振状态的识别是有效的，也更符合人的思维方式。
The relation between empirical distribution of experimental data and the theoretical distribution of the flutter signal is constructed based on the principle of fuzzy mathematics. The fuzzy identification of flutter state is discussed. A flutter fuzzy recognition system is given based on C language. Experimental results show that: the system of flutter status identification is effective, but also more in line with human thinking.