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A Novel Time-Frequency Analysis Method for Mechanical Failure Detection

机译:一种新型时频分析方法,用于机械故障检测

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摘要

This research will attempt to analyze the effectiveness of the Empirical Mode Decomposition (EMD) in diagnostics of gearboxes operating under non-stationary rotational speed. For this, a simple software program for signal processing and extraction of mechanical failure detection was developed and tested. The primary aim is to reveal the nonlinear behavior of the system by using time frequency methods as an alternative to Fourier analysis methodology. Both simulated and experimental response data are analyzed by applying EMD and time-frequency analysis. The following examples demonstrate the improvements in the detection of gear faults.
机译:该研究将尝试分析经验模型分解(EMD)在非静止转速下运行的齿轮箱诊断中的有效性。为此,开发并测试了用于信号处理和机械故障检测的提取的简单软件程序。主要目的是通过使用时间频率方法作为傅立叶分析方法的替代方法来揭示系统的非线性行为。通过应用EMD和时频分析来分析模拟和实验响应数据。以下实施例证明了齿轮故障检测的改进。

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