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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

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Advanced Microsystems for Automotive Applications 2014

Part of the book series: Lecture Notes in Mobility ((LNMOB))

Abstract

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.

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Correspondence to Jurij Kern .

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© 2014 Springer International Publishing Switzerland

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Kern, J., Thun, C., Herman, J. (2014). Development of a Solid-Borne Sound Sensor to Detect Bearing Faults Based on a MEMS Sensor and a PVDF Foil Sensor. In: Fischer-Wolfarth, J., Meyer, G. (eds) Advanced Microsystems for Automotive Applications 2014. Lecture Notes in Mobility. Springer, Cham. https://doi.org/10.1007/978-3-319-08087-1_19

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  • DOI: https://doi.org/10.1007/978-3-319-08087-1_19

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-08086-4

  • Online ISBN: 978-3-319-08087-1

  • eBook Packages: EngineeringEngineering (R0)

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