機械振動の精密リサージュ図形描画を用いた装置診断解析に関する研究

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  • Research of Machine Condition Diagnosis Analysis using Precise Lissajous Diagrams for Mechanical Vibration

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<p>Popular Machine Condition Diagnosis Techniques are to monitor changes in vibration velocity (RMS) over time or to detect fluctuations in vibration frequency and peak value by frequency analysis. Another technique is to visualize the machine vibration in three dimensions by using a Lissajous curve which is not widely used due to the difficulties in synchronizing the measurement data in three axes, reducing the influence of background noise, and adjusting the triaxial calibration at the installation site. To address the above issues, we developed a prototype of a three-axis digital vibration sensor and a pre-processing algorithm for precise Lissajous curves. Both hardware and software improvements enabled both simple measurement and precise visualization of machine vibration. Changes in the symmetry of vibration, which is difficult to be monitored with conventional time/frequency analysis, are successfully visualized. In this paper, we describe the 3-axis digital vibration sensor and the pre-processing algorithm for precise Lissajous curves, and introduce the extracting and indexing of features of the resulting Lissajous curves.</p>

収録刊行物

  • 年次大会

    年次大会 2021 (0), J121-01-, 2021

    一般社団法人 日本機械学会

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