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Development of a Solid-Borne Sound Sensor to Detect Bearing Faults Based on a MEMS Sensor and a PVDF Foil Sensor

机译:基于MEMS传感器和PVDF箔传感器的可检测轴承故障的固体声传感器的开发

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Vibration analysis is an effective method to determine the health of a rotating mechanical machine. A test is set-up with two different sensors, MEMS and PVDF-Foil based. Experimental data is presented and a test to detect undamaged and damaged bearings has been performed. The MEMS sensor shows a good performance with clear indication of failure frequencies. The PVDF Foil in this configuration also shows the ability to detect the difference, but the natural properties leading to mechanical amplification of bearing vibrations are limiting the performances for weak mechanical failures. Monitoring algorithms are employed under standard conditions: RMS value of the signal, Kurtosis, Power spectrum density and Envelope analysis.
机译:振动分析是确定旋转机械的健康状况的有效方法。使用两个不同的传感器(基于MEMS和PVDF-Foil)进行测试。提供了实验数据,并进行了检测未损坏和损坏的轴承的测试。 MEMS传感器显示出良好的性能,并清楚显示了故障频率。此配置中的PVDF箔也显示了检测差异的能力,但是导致轴承振动机械放大的自然属性限制了弱机械故障的性能。在标准条件下使用监视算法:信号的RMS值,峰度,功率谱密度和包络分析。

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