| 基于概率论和模糊数学的汽车故障诊断模型 |
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| 引用本文： | 周志英.基于概率论和模糊数学的汽车故障诊断模型[J].湖南文理学院学报(自然科学版),2009,21(2):12-14,48. |
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| 作者姓名： | 周志英 |
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| 作者单位： | 长沙学院,信息与计算科学系,湖南,长沙,410003
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| 摘 要： | 将模糊数学、概率推理和节约覆盖集理论引入到汽车故障诊断中,建立了一个新的汽车故障综合诊断模型.模糊隶属函数利用各专家的语义强度和经验,建立汽车故障性质与故障征兆之间的因果强度关系,再将概率统计和模糊数学相结合,利用节约覆盖集的理论重新筛选故障征兆集,重构相对似然函数.形成的模型能最大限度融入专家的知识,充分考虑了汽车的历史检修记录,使诊断结论更准确、可信.
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| 关 键 词： | 模糊数学 概率推理 汽车故障诊断 节约覆盖 故障征兆 |
Probability reasoning and fuzzy theory applied for auto malfunction diagnosis |
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| ZHOU Zhi-ying.Probability reasoning and fuzzy theory applied for auto malfunction diagnosis[J].Journal of Hunan University of Arts and Science:Natural Science Edition,2009,21(2):12-14,48. |
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| Authors: | ZHOU Zhi-ying |
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| Institution: | Department of Information and Computing-Science of Changsha University;Changsha;Hunan;410003 |
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| Abstract: | The new auto malfunction diagnosis model is based on the fuzzy theory, probability reasoning and parsimonious covering theory. Using the linguistic expression and experience of experts, the relationship between auto malfunction characteristics and malfunction symptoms was built up. Then malfunction symptoms were filtered by the parsimonious covering set theory. Based on the probability reasoning and parsimonious covering theory, the relative probability function was rebuilt. Not only expert knowledge and ex... |
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| Keywords: | fuzzy theory probability reasoning auto malfunction diagnosis parsimonious covering malfunction symptoms |
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