STRUCTURAL HEALTH MONITORING SYSTEM AND METHOD

    公开(公告)号:US20210156759A1

    公开(公告)日:2021-05-27

    申请号:US17105414

    申请日:2020-11-25

    Abstract: The present invention relates to nonlinear Vibro-Acoustic Modulation (VAM), one of the prevailing nonlinear methods for material characterization and structural damage evaluation. An algorithm of AM/FM separation is presented specifically for VAM method. While the commonly used Hilbert transform (HT) separation may not work for a typical VAM scenario, the developed IQHS and SPHS algorithms address HT shortcomings. They have been tested both numerically and experimentally (for fatigue cracks evolution) showing FM dominance at the initial micro-crack growth stages and transition to AM during macro-crack formation. In addition, the SPHS algorithm is capable of detecting fatigue crack via monitoring of modulation phase.

    INTEGRATED SENSORS FOR STRUCTURAL HEALTH MONITORING

    公开(公告)号:US20170167932A1

    公开(公告)日:2017-06-15

    申请号:US15374412

    申请日:2016-12-09

    CPC classification number: G01M5/0033 G01M5/0041 G01M5/0083

    Abstract: A wireless sensor includes a sensing element, a signal conditioning element, and a passive RFID tag. The sensing element is adapted to provide an electrical response indicating whether a physical parameter applied to the wireless sensor has exceeded a predetermined threshold. The signal conditioning element is electrically coupled to the sensing element and is adapted to detect the electrical response of the sensing element. The passive RFID tag is electrically coupled to the signal conditioning element. The passive RFID tag is adapted to be powered by an interrogation by an RFID reader, to receive an indication of the electrical response from the signal conditioning element, and to transmit the indication to the RFID reader.

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