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运用模糊诊断理论，通过测试内燃机循环内转速波动，对ＳＹ４９２Ｑ－４ 型汽油机燃烧异常的症状进行识别诊断，结果表明模糊聚类方法可以对故障发生的中间随机原因（症状）进行定位研究，并在一定的转速范围内对于多因素的故障识别具有很高的准确性．
The fuzzy diagnosis theory is used to identify the abnormal combustion symptoms of SY492Q-4 gasoline engine by testing the rotational speed fluctuation in the internal combustion engine cycle. The results show that the fuzzy clustering method can locate the random causes (symptoms) Within a certain speed range for multi-factor fault identification with high accuracy.