兰州工业学院学报
蘭州工業學院學報
란주공업학원학보
Journal of Lanzhou Institute of Technology
2014年
5期
12-16
,共5页
汽车故障诊断%知识库%SWN%InduceRank
汽車故障診斷%知識庫%SWN%InduceRank
기차고장진단%지식고%SWN%InduceRank
automobile diagnoses%fault repository%SWN%InduceRank
建立了基于SWN的知识库模型，并提出了InduceRank 算法，对最可能的故障原因进行排序，从而实现汽车故障诊断。实验表明，提出的方法具备较高的诊断准确率。
建立瞭基于SWN的知識庫模型，併提齣瞭InduceRank 算法，對最可能的故障原因進行排序，從而實現汽車故障診斷。實驗錶明，提齣的方法具備較高的診斷準確率。
건립료기우SWN적지식고모형，병제출료InduceRank 산법，대최가능적고장원인진행배서，종이실현기차고장진단。실험표명，제출적방법구비교고적진단준학솔。
This paper proposes a method to diagnose vehicle failure through building related repository based on SWN model , ranking the most possible fault latency by InduceRank algorithm .The result of experiments proves that the method is much more accurate .
