测控技术2025，Vol.44Issue(6)：1-6,6.DOI:10.19708/j.ckjs.2024.12.274
基于分层多模滤波的发动机多重故障诊断
Engine Multiple Fault Diagnosis Based on Hierarchical Multimode Filtering
王艺嫚 1任新宇 1刘继华 2杨冬卫 2师建强 2钟华贵2
作者信息
- 1. 西北工业大学动力与能源学院,陕西 西安 710072
- 2. 中国航发四川燃气涡轮研究院,四川成都 610500
- 折叠
摘要
Abstract
A fault diagnosis algorithm based on hierarchical multimode hybrid Kalman filtering is proposed for the problem of multiple fault diagnosis of aeroengines.The algorithm combines the features of hybrid Kalman filtering and multimode filtering algorithms,and adopts a hierarchical diagnostic architecture for fault diagno-sis,which can simultaneously diagnose single and double engine faults.The base layer carries out preliminary diagnosis and classifies the fault modes.The hybrid layer analyzes the specific fault conditions on this basis,and finally outputs the diagnostic results in a comprehensive manner.The simulation of the designed fault diag-nosis algorithm is carried out by taking the double faults of the compressor and P3 sensor,T3 sensor and P6 sensor as an example.The results show that the diagnostic system can effectively detect and isolate the dual faults of sensors,their components and dual sensors under the condition of engine degradation.关键词
航空发动机/多重故障诊断/混合卡尔曼滤波/故障隔离Key words
aeroengine/multiple fault diagnosis/hybrid Kalman filtering/fault isolation引用本文复制引用
王艺嫚,任新宇,刘继华,杨冬卫,师建强,钟华贵..基于分层多模滤波的发动机多重故障诊断[J].测控技术,2025,44(6):1-6,6.
