基于同步提取增强广义S变换的柴油机气门性能退化状态评估  

Assessment of Diesel Engine Valve Performance Degradation Status Based on Synchroextracting Enhanced Generalized S-transform

作　　者：刘子昌 白永生 李思雨 张坤[3] 刘敏 贾希胜 LIU Zichang;BAI Yongsheng;LI Siyu;ZHANG Kun;LIU Min;JIA Xisheng(Shijiazhuang Campus,Army Engineering University of PLA,Shijiazhuang 050003,Hebei,China;Hebei Provincial Key Lab of Condition Monitoring and Assessment of Mechanical Equipment,Shijiazhuang 050003,Hebei,China;Beijing Key Laboratory of Advanced Manufacturing Technology,Beijing University of Technology,Beijing 100124,China;Unit 96901 of PLA,Beijing 100085,China)

机构地区：[1]陆军工程大学石家庄校区,河北石家庄050003 [2]河北省机械装备状态监测与评估重点实验室,河北石家庄050003 [3]北京工业大学先进制造技术北京市重点实验室,北京100124 [4]96901部队,北京100085

出　　处：《兵工学报》2024年第6期2003-2016,共14页Acta Armamentarii

基　　金：国家自然科学基金项目(71871220)。

摘　　要：柴油机在运行过程中气门间隙逐渐增大,其状态会随气门性能退化而发生改变。针对传统状态评估方法难以对其气门性能退化状态进行准确评估的问题,提出基于同步提取增强广义S变换(Synchro Extracting Enhanced Generalized S-Transform,SEEGST)的柴油机气门性能退化状态评估方法。通过传感器采集反映柴油机状态的振动信号;为解决传统信号时频分析方法存在时频分辨率低、能量聚集性弱等问题,基于同步提取算法与广义S变换提出SEEGST时频分析方法,将振动信号转换为二维时频图;利用MLP-Mixer模型提取时频图像特征进行训练,实现柴油机状态评估。通过柴油机状态监测实验台开展气门性能退化实验,将所提方法与SSGST-MLPMixer、GST-MLPMixer、SEEGST-ViT、SEEGST-2DCNN、FFT spectrum-1DCNN 5种传统方法对比。实验结果表明:所提方法的整体评估准确率达到98.96%,可有效应用于柴油机气门性能退化状态评估领域,为开展柴油机气门性能退化状态评估提供一种新的思路。The operating status of diesel engine changes with the performance degradation of valve as the valve clearance gradually increases during operation.It is difficult to accurately assessment the performance degradation status of valve by traditional status assessment methods.A diesel engine valve performance degradation status assessment method based on synchroextracting enhanced generalized S-transform(SEEGST)is proposed.The vibration signal reflecting the status of diesel engine is collected by sensors.To solve the problems of low time-frequency resolution and weak energy aggregation in traditional signal time-frequency analysis methods,a SEEGST time-frequency analysis method is proposed based on the synchroextracting algorithm and generalized S-transform to convert the vibration signal into a two-dimensional time-frequency map.MLP-Mixer model is used to extract the time-frequency image features for training,thus realizing the assessment of diesel engine status.The proposed method is compared with five traditional methods,namely SSGST-MLPMixer,GST-MLPMixer,SEEGST-ViT,SEEGST-2DCNN and FFT spectrum-1DCNN,by conducting the valve performance degradation experiment on a diesel engine status monitoring test bench.The experimental results show that the overall assessment accuracy of the proposed method reaches 98.96%,which can be effectively applied to the diesel engine valve performance degradation status assessment and provides a new idea for conducting the diesel engine valve performance degradation status assessment.

关 键 词：柴油机 状态评估 同步提取增强广义S变换 MLP-Mixer 

分 类 号：TK428[动力工程及工程热物理—动力机械及工程]