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航空发动机故障融合诊断研究
引用本文:陈 曦,廖明夫,王俨剀.航空发动机故障融合诊断研究[J].航空发动机,2013,39(4):78-84.
作者姓名:陈 曦  廖明夫  王俨剀
作者单位:西北工业大学动力与能源学院,西安,710072
基金项目:国际自然科学基金(51175017,51275024)资助;北京航空航天大学博士研究生创新基金(YWF-12-RBYJ-008)资助;北京航空航天大学博士研究生学术新人奖资助;高等学校博士学科点专项科研基金资助。
摘    要:结合气路诊断与振动分析方法,建立发动机故障融合诊断模型,探讨气路与振动故障融合诊断方法的可行性。构建故障融合诊断3级体系(故障特征级、故障模式级以及故障决策级融合),实现基于性能参数和振动参数的综合评估方法,获得基于小偏差法的气路故障判据,形成基于动力学分析的振动故障判据,提出故障特征融合的方法,通过算法实现故障融合识别,并在模拟试验器上进行涡轮叶片掉块故障试验验证,获得相应的故障诊断决策。结果表明:设计的发动机故障融合诊断方法合理,算法正确。

关 键 词:航空发动机  气路故障  振动故障  融合诊断模型  融合识别
修稿时间:1/8/2013 12:00:00 AM

Investigation of Aeroengine Fault Fusion Diagnosis
Authors:CHEN Xi  LIAO Ming-fu  WANG Yan-kai
Institution:School of Power and Energy, Northwestern Polytechnical University, Xi'an 710072, China
Abstract:In order to study aeroengine fault diagnosis with information fusion, a health integrated assessment model of aircraft engine based on performance parameters and vibration parameters was established. A three-level system of fault fusion diagnosis was built, including the feature level, mode level and the decision level. A gas path failure criterion based on small deviation method was gained and a vibration failure criterion based on dynamics analysis was formed. A fault fusion diagnosis method was put forward, and a goal of fault fusion recognition through algorithm was achieved. An experiment of turbine blade fracture failure on the rotor experimental device was conducted, and a fault diagnostic decision can be attained. The experiment results indicate that the aeroengine fault fusion diagnosis method is reasonable and the algorithm is correct
Keywords:aeroengine  gas path fault  vibration fault  fusion diagnosis model  fusion recognition
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