| 贝叶斯网络在故障诊断中的应用 |
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| 引用本文： | 刘晓洁,吴家鑫.贝叶斯网络在故障诊断中的应用[J].北京联合大学学报(自然科学版),2014,28(2):60-63. |
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| 作者姓名： | 刘晓洁 吴家鑫 |
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| 作者单位： | 中体彩科技发展有限公司,北京,100021;中牧实业股份有限公司,北京 100095;中国牧工商(集团)总公司研究院,北京100095 |
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| 摘 要： | 贝叶斯网络适用于表达和分析不确定性和概率性的事物,由于具有能够对不完全、不精确或不确定的知识或信息作出有效的推理等特性,而成为目前不确定知识表达和推理领域最有效的模型之一。
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| 关 键 词： | 贝叶斯网络 故障诊断 不确定性 |
Application of Bayesian Network in Fault Diagnosis |
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| LIU Xiao-jie,WU Jia-xin.Application of Bayesian Network in Fault Diagnosis[J].Journal of Beijing Union University,2014,28(2):60-63. |
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| Authors: | LIU Xiao-jie WU Jia-xin |
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| Institution: | 1. China Sports Lottery Technology Group, Beijing 100021, China; 2. China Animal Husbandry Industry Co. Ltd, Beijing 100095, China; 3. ZhongMu Institute of China Animal Husbandry Group, Beijing 100095, China) |
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| Abstract: | Bayesian networks is one of the most efficient models in the fields of uncertain knowledge expression and inference. It has the following characteristics： the expression form of graph model, partial and distributed study mechanism and directly perceived inference; applicable in expressing and analyzing uncertain and probability things and efficiently reasoning partial, inaccurate and uncertain knowledge or information. |
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| Keywords: | Bayesian network Fault diagnosis Uncertain knowledge expression |
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