| 摘要: |
| 详细介绍了小波分析的基本原理和Mallat算法，重点讨论了小波分析在推进系统健康监控中的应用。从工程应用的角度，提出了用小波分析方法进行信号滤波、故障检测与诊断的思路。研究结果显示：小波分析方法具有良好的时-频定位特性，特别适合于分析时变、瞬态或非线性信号，为液体火箭发动机状态监控与故障诊断提供了一种新的强有力工具。 |
| 关键词: 小波分析~+ 液体推进剂火箭发动机 故障检测 故障诊断 Mallat算法~+ 信号处理 |
| DOI： |
| 分类号:V430 |
| 基金项目: |
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| WAVELET ANALYSIS AND ITS APPLICATION IN HEALTH MONITORING OF PROPULSION SYSTEMS |
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Yang Erfu,Zhang Zhenpeng
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School of Astronautics, Beijing Univ. of Aeronautics and Astronautics, Beijing, 100083
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| Abstract: |
| The basic theory of Wavelet Analysis and Mallat algorithm are introduced in detail, itis emphasized to discuss the application of Wavelet Analysis in health monitoring of propulsionsystems. From the view point of engineering practice, a methed using Wavelet Analysis to signalfiltering, failure detection and diagnocis, is put forward. The study result demonstrates that WaveletAnalysis has a good time-frequence location property and it is especially applied to ptocess timevarying, transient or nonlinear signals, which will supply a newly strong too f0r condition monitoringand fault diagnosis of liquid rocket engines. |
| Key words: Wavelet analysis’ Liquid propellant rocket engine Fault detection Faultdiagnosis Mallat algorithm+ Signal processing |
