直升机行星传动轮系故障诊断研究进展  

Advance in study of fault diagnosis of helicopter planetary gears

作　　者：孙灿飞[1,2] 王友仁[1] 

机构地区：[1]南京航空航天大学自动化学院,南京210016 [2]故障诊断与健康管理技术航空科技重点实验室试验与验证中心,上海201601

出　　处：《航空学报》2017年第7期106-119,共14页Acta Aeronautica et Astronautica Sinica

基　　金：中央高校基本科研业务费专项资金与江苏省普通高校研究生科研创新计划(KYLX16_0336)~~

摘　　要：行星传动轮系是直升机传动系统的核心部件,是直升机健康和使用监测系统(HUMS)重要的监测对象。直升机行星传动轮系具有结构复杂紧凑、组件繁多、工况瞬时多变以及使用环境恶劣等特点,导致直升机行星传动轮系振动信号污染严重、成分复杂,具有较强的非平稳性和耦合调制特征。另外复杂的故障模式、较少的故障样本,也都增加了直升机行星传动轮系故障诊断的难度。面对这些难题,研究人员在基于信号降噪与信号分离、时频分析与解耦解调、数学建模与模式识别的故障诊断技术上取得了丰硕的成果。面对仍然存在的一些亟待研究和解决的问题,提出了直升机行星传动轮系故障诊断技术的研究方向以及未来的发展趋势。Planetary gearbox is the core component of helicopter transmission,so fault diagnosis of planetary gearbox is a key topic for Health and Usage Monitoring System（HUMS）of helicopters.Since helicopter planetary transmission train system is characterized by complex structure,numerous components,instantaneous change of working condition and severe environment,the vibration signal of helicopter planetary gear train is polluted seriously,and the signal has complex components and strong non-stationarity and coupling modulation characteristics.In addition,complexity of fault modes and insufficient fault samples make it difficult to diagnose the helicopter gear transmission fault.Faced with these problems,researchers have achieved fruitful results in signal-based noise reduction and signal separation,time-frequency analysis and decoupling demodulation,mathematical modeling and pattern recognition fault diagnosis technology.Future research directions and development trend of fault diagnosis technology for helicopter planetary gear train are also provided.

关 键 词：直升机 行星齿轮 故障诊断 信号分离 解耦解调 模式识别 

分 类 号：V275.1[航空宇航科学与技术—飞行器设计] TP306.3[自动化与计算机技术—计算机系统结构]