Design of Wireless Sensor Units with Embedded Statistical Time-Series Damage Detection Algorithms for Structural Health Monitoring

A low-cost wireless sensing unit is designed and fabricated for deployment in a structural monitoring system that uses wireless radios as the sole channel for communications. The finite operational life of portable power supplies such as batteries necessitates optimization of the wireless sensing unit design to attain power efficiency. To attain far reaching communication ranges required in structural monitoring applications, the wireless communication channel consumes significant amount of power. To reduce the quantity of raw time-history data for transmission and reception, a computational core that can accommodate localized processing of data is designed and implemented. To illustrate the ability of the computational core to execute embedded engineering analyses, a two-tiered time-series damage detection algorithm is implemented. Local execution of the embedded damage detection method is shown to save energy by avoiding utilization of the wireless channel to transmit raw time-history data.

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