航空发动机整机振动故障模糊信息熵诊断方法

推进技术 ›› 2011, Vol. 32 ›› Issue (3): 407-411.

航空发动机整机振动故障模糊信息熵诊断方法

艾延廷,费成巍,王志

沈阳航空航天大学辽宁省数字化工艺仿真与试验技术重点实验室,辽宁沈阳 110136;沈阳航空航天大学辽宁省数字化工艺仿真与试验技术重点实验室,辽宁沈阳 110136;沈阳航空航天大学辽宁省数字化工艺仿真与试验技术重点实验室,辽宁沈阳 110136

发布日期:2021-08-15
作者简介:艾延廷(1963—),男,博士,教授,研究领域为航空发动机结构强度与故障诊断技术。E-mail:ytai@163.com
基金资助:
航空科学基金资助项目(2008ZB54006)。

A fault diagnosis method for aero-engine vibration basedon fuzzy information entropy

Liaoning Key Lab. of Digital Technology Simulation and Test Technique, Shenyang Aerospace Univ., Shenyang 110136, China;Liaoning Key Lab. of Digital Technology Simulation and Test Technique, Shenyang Aerospace Univ., Shenyang 110136, China;Liaoning Key Lab. of Digital Technology Simulation and Test Technique, Shenyang Aerospace Univ., Shenyang 110136, China

Published:2021-08-15

摘要/Abstract

摘要： 为了获得航空发动机整机振动故障征兆与故障原因之间难以确定的复杂隶属关系,提高故障诊断的准确率,基于模糊数学理论和信息熵理论,提出了基于模糊信息熵的发动机整机振动故障融合诊断方法。通过建立模糊信息熵融合诊断的数学模型,使定量分析与专家经验和定性分析相结合,并应用于某型航空发动机整机振动故障诊断。实际应用表明,基于模糊信息熵融合的诊断模型较单一的模糊诊断模型准确率明显提高,验证了该方法用于航空发动机整机振动故障诊断是有效的。

关键词: 航空发动机;整机振动;故障征兆;故障原因;诊断矩阵

Abstract: In order to obtain the complicated subordinate relationships which were difficult to determine between aero-engine vibration fault symptoms and fault causes, and to improve the accuracy of aero-engine vibration fault diagnosis, a fusion fault diagnosis method came up based on the fuzzy information entropy which fused the fuzzy mathematics theory and the advantages of information entropy quantitative diagnostic method. The quantitative analysis, expertise and qualitative analysis were combined by establishing the mathematic model of the information entropy fusion diagnosis for the diagnosis of a field aero-engine. It shows that the accuracy which uses the information entropy fusion model to diagnosis is obviously superior to that of using the single fussy model, and can be applied in aero-engine vibration fault diagnosis effectively.

Key words: Aero-engine; Aero-engine vibration; Fault symptoms; Fault causes; Diagnosis matrix

艾延廷,费成巍,王志. 航空发动机整机振动故障模糊信息熵诊断方法[J]. 推进技术, 2011, 32(3): 407-411.