摘要
采用短时傅里叶变换分析方法,对某型空气涡轮起动机在交付前试验流程的起动过程振动响应进行非平稳特征分析,有效识别振动幅值偏大,判定异常振动,避免其交付后出现振动故障。通过对比空气涡轮起动机起动过程的正常状态与振动异常状态的短时傅里叶时频谱分析,获得异常振动的时频谱特征,对导致异常的零部件和装配因素进行了分析。结果表明:将短时傅里叶变换应用于空气涡轮起动机起动过程的振动信号分析能够对振动的非平稳特征进行有效识别。
The short-time Fourier transform is applied to analyze non-stationary characteristics of vibration response of starting process in pre-delivery test of air turbine starters.Larger amplitude is identified and abnormal vibration is determined effectively to prevent the vibration faults of the air turbine starter after delivery.The comparison of STFT spectral analysis of starting process of the air turbine starter in normal condition and abnormal vibration condition is conducted to abtain the time frequency spectrum characteristics of abnormal vibration.The possible causes of components and assembly leading to such abnormal vibration are analyzed.The results demonstrate that vibration signal analysis of starting process of air turbine starter using STFT can identify non-stationary characteristics of vibration distinctly.
作者
熊欣
乔思佳
朱钰珏
蒋聪
任悦
臧朝平
XIONG Xin;QIAO Sijia;ZHU Yujue;JIANG Cong;REN Yue;ZANG Chaoping(AVIC Jincheng Nanjing Mechatronics Hydraulic Engineering Research Center,Nanjing 211106,China;The Third Military Representative Office of Air Force Equipment Department in Nanjing,Nanjing 211106,China;Translation Office of Foreign Training Department,Naval Command College,Nanjing 210016,China;College of Energy and Power Engineering,Nanjing University of Aeronautics and Astronautics,Nanjing 210016,China)
出处
《机械制造与自动化》
2024年第1期238-242,共5页
Machine Building & Automation
基金
国家自然科学基金项目(12072146)。
