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首页> 美国政府科技报告 >Bearing defect signature analysis using advanced nonlinear signal analysis in a controlled environment
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Bearing defect signature analysis using advanced nonlinear signal analysis in a controlled environment

机译：在受控环境中使用先进的非线性信号分析进行轴承缺陷特征分析

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Utilizing high-frequency data from a highly instrumented rotor assembly, seeded bearing defect signatures are characterized using both conventional linear approaches, such as power spectral density analysis, and recently developed nonlinear techniques such as bicoherence analysis. Traditional low-frequency (less than 20 kHz) analysis and high-frequency envelope analysis of both accelerometer and acoustic emission data are used to recover characteristic bearing distress information buried deeply in acquired data. The successful coupling of newly developed nonlinear signal analysis with recovered wideband envelope data from accelerometers and acoustic emission sensors is the innovative focus of this research.

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