作者: Shunfeng Cheng , Kwok Tom , Larry Thomas , Michael Pecht
DOI: 10.1109/JSEN.2009.2035817
关键词: Engineering 、 Radio-frequency identification 、 Wireless 、 Electronic engineering 、 Sequential probability ratio test 、 Prognostics 、 Key distribution in wireless sensor networks 、 Wireless sensor network 、 Software 、 Mobile wireless sensor network 、 Real-time computing
摘要: This paper introduces a novel radio-frequency-based wireless sensor system and describes its prognostics health management functions. The includes radio frequency identification tag, reader, diagnostic-prognostic software. software uses the sequential probability ratio test with cross-validation procedure to detect anomalies, assess degradation, predict failures. prognostic performance of is demonstrated by field application.