深度置信网络在发动机气路部件性能衰退故障诊断中的应用研究

推进技术 ›› 2016, Vol. 37 ›› Issue (11): 2173-2180.

深度置信网络在发动机气路部件性能衰退故障诊断中的应用研究

李本威¹,林学森¹,杨欣毅¹,赵勇²,宋汉强²

海军航空工程学院飞行器工程系，山东烟台264001,海军航空工程学院飞行器工程系，山东烟台264001,海军航空工程学院飞行器工程系，山东烟台264001,海军航空工程学院研究生管理大队，山东烟台264001,海军航空工程学院研究生管理大队，山东烟台264001

发布日期:2021-08-15
作者简介:李本威，男，博士，教授，研究领域为航空发动机故障诊断、状态监控、测试与维护技术。
基金资助:
国家自然科学基金(51505492)；“泰山学者”建设工程专项经费资助。

ResearchonApplicationofDeepBeliefNetworksonEngineGas

DepartmentofAerocraftEngineering，NavalAeronauticalandAstronauticalUniversity，Yantai264001，China,DepartmentofAerocraftEngineering，NavalAeronauticalandAstronauticalUniversity，Yantai264001，China,DepartmentofAerocraftEngineering，NavalAeronauticalandAstronauticalUniversity，Yantai264001，China,GraduateStudents’Brigade，NavalAeronauticalandAstronauticalUniversity，Yantai264001，China and GraduateStudents’Brigade，NavalAeronauticalandAstronauticalUniversity，Yantai264001，China

Published:2021-08-15

摘要/Abstract

摘要： 为提高发动机转动部件性能衰退故障诊断精度，针对传统的浅层网络和支持向量机

关键词: 深度置信网络；航空发动机；转动部件；故障诊断

Abstract: Inordertoimprovetheaccuracyofenginerotatingcomponentperformancedegradationdiagno

Key words: Deepbeliefnetwork；Aero-engine；Rotatingcomponent；Defectdiagnosis

李本威,林学森,杨欣毅,赵勇,宋汉强. 深度置信网络在发动机气路部件性能衰退故障诊断中的应用研究[J]. 推进技术, 2016, 37(11): 2173-2180.

LIBen-wei¹,LINXue-sen¹,YANGXin-yi¹,ZHAOYong²,SONGHan-qiang². ResearchonApplicationofDeepBeliefNetworksonEngineGas[J]. Journal of Propulsion Technology, 2016, 37(11): 2173-2180.

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