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A Wireless Sensor System for Prognostics and Health Management

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4 Author(s)
Shunfeng Cheng ; Prognostics and Health Management Lab in the Center for Advanced Life Cycle Engineering (CALCE), University of Maryland, College Park ; Kwok Tom ; Larry Thomas ; Michael Pecht

This paper introduces a novel radio-frequency-based wireless sensor system and describes its prognostics and health management functions. The wireless sensor system includes a radio frequency identification sensor tag, a wireless reader, and diagnostic-prognostic software. The software uses the sequential probability ratio test with a cross-validation procedure to detect anomalies, assess degradation, and predict failures. The prognostic performance of the sensor system is demonstrated by a field application.

Published in:

IEEE Sensors Journal  (Volume:10 ,  Issue: 4 )