基于相位自适应提取的柴油机气门故障识别方法  

Diesel Engine Valve Fault Identification Method Basedon Phase Adaptive Extraction

作　　者：包彬彬 李振亚 蒋庆磊 莫航锋 茆志伟[2] BAO Bin-bin;LI Zhen-ya;JIANG Qing-lei;MO Hang-feng;MAO Zhi-wei(China Nuclear Power Operation Technology Co.,Ltd.,Wuhan 430223,China;Beijing Key Laboratory of Health Monitoring and Self-Recovery for High-End Mechanical Equipment,Beijing University of Chemical Technology,Beijing 100029,China)

机构地区：[1]中核武汉核电运行技术股份有限公司,湖北武汉430223 [2]高端机械装备健康监控与自愈化北京市重点实验室,北京化工大学,北京100029

出　　处：《机械工程与自动化》2023年第3期129-131,共3页Mechanical Engineering & Automation

摘　　要：针对柴油机气门间隙异常故障,提出一种基于振动能量重心自适应提取及阈值学习的故障识别方法。首先,分析柴油机振动多源冲击信号特点及气门间隙故障机理,采用变分时域分解方法自适应获取时域单冲击分量和振动能量重心;然后采用贝塔分布参数拟合方法,根据正常状态样本特征学习气门间隙异常报警阈值;最后,在柴油机实验台上通过调整气门间隙开展故障模拟实验,实验结果验证了所提特征的故障表征能力以及故障识别方法的有效性。For abnormal valve clearance of diesel engines,a fault identification method based on vibrational energy center of gravity adaptive extraction and threshold learning is proposed.First of all,the characteristics of diesel engine vibration multi-source shock signal and valve clearance fault mechanism are analyzed,and the variational time domain decomposition method is used to adaptively obtain single impact component and vibration energy center of gravity in time domain.Then the beta distribution parameter fitting method is used to learn the valve clearance abnormal alarm threshold according to the characteristics of the normal state samples.Finally,the fault simulation experiment is carried out by adjusting the valve clearance on the diesel engine test-bed.The experimental results verify the fault representation ability of the features proposed in this paper and the effectiveness of the fault identification method.

关 键 词：柴油机 气门故障 异常识别 自适应 

分 类 号：TH165.3[机械工程—机械制造及自动化]