Open AccessAnalysis and Application of Vibration Signals of Aerospace Servo Actuator
Author(s) -
Silu Chen,
Zhanwei Li,
Qing Zhang
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1986/1/012137
Subject(s) - vibration , signal processing , frequency domain , actuator , signal (programming language) , aerospace , time domain , matlab , computer science , servomechanism , engineering , filter (signal processing) , noise (video) , waveform , frequency analysis , control theory (sociology) , control engineering , acoustics , electronic engineering , digital signal processing , artificial intelligence , computer vision , telecommunications , physics , aerospace engineering , radar , control (management) , programming language , operating system , algorithm , image (mathematics)
This paper analyzes the vibration signals of aerospace servo actuator and studies their applications. In the signal pre-processing, an adaptive filter based on genetic algorithm is added to improve the signal-to-noise ratio. Time domain analysis is used to monitor the vibration signals and determine the main vibration directions. Frequency domain analysis is used to extract the main vibration frequencies and perform preliminary fault analysis. The WT method with optional window function is used for time-frequency analysis, which can describe the relationship between vibration signal frequency and time, and decompose the signal characteristics required for the analysis. In the research, LabVIEW and MATLAB are used for data processing and analysis. The research lays the foundation of aerospace servo actuator vibration signal analysis and processing system.