摘要
在设备故障诊断领域 ,复合故障的诊断一直是一个难点 ,缺乏行之有效的诊断方法。通过对故障信息熵的研究 ,提出了基于故障信息重要度的故障分类规则 ,此方法不但能有效识别单一故障 ,也能诊断复合故障 ,经用于发动机的故障诊断 。
The diagnosis of compound-fault is always a difficult point, and there is not an effective method in equipment diagnosis field. In this paper the classifying rule based on information importance of fault is introduced through the analysis of fault information entropy. This method can recognize not only the single-fault but the compound-fault. Satisfactory results are obtained in the fault diagnosis of engines.
出处
《燃烧科学与技术》
EI
CAS
CSCD
2001年第2期141-143,共3页
Journal of Combustion Science and Technology
