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柴油机冷启动过程模糊逻辑推理异常诊断
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Abnormity Diagnosis on the Process of Cold Start in the Diesel Engine Based on Fuzzy Logic Inference
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    摘要:

    在分析柴油机冷启动异常诊断知识特点的研究基础上,采用清晰集构建模糊集的方法对柴油机冷启动过程运行状态参数进行相应的模糊化处理,并采用模糊逻辑推理算法对柴油机冷启动过程进行异常诊断,从而提出了一种基于模糊逻辑推理的柴油机冷启动异常诊断方法.应用实例表明,柴油机冷启动过程中启动困难异常的可能性为0.752,应该对柴油机冷启动供油温度、进气岐管温度进行处理.应用效果表明, 柴油机冷启动过程逻辑推理异常诊断方法诊断准确率高,具有较强的实用性.

    Abstract:

    Based on the analysis on diagnosis knowledge of cold start fault for diesel engine, the running state parameters of the process of cold start in the diesel engine were processed by using clear sets to construct a fuzzy set. Some abnormities about the process of cold start in the diesel engine were diagnosed by using fuzzy inference algorithm, and an abnormity diagnosis method about the process of cold start in the diesel engine was put forward based on fuzzy logic inference. Application results reveal that the probability about abnormity of the start difficult was 0.752. Therefore, oil temperature and inflow manifold temperature should be checked. Application effects show that the abnormity diagnosis method about the process of cold start in the diesel engine is of high accuracy and large practicality.

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胡素云,鄂加强,龚金科.柴油机冷启动过程模糊逻辑推理异常诊断[J].湖南大学学报:自然科学版,2011,38(11):36~42

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