An Embedded Intelligent Monitoring System For Rotating Machinery Vibrations - Art. No. 67941d
ICMIT 2007: MECHATRONICS, MEMS, AND SMART MATERIALS, PTS 1 AND 2(2008)
Abstract
As required of multi-level and network based fault diagnosis system for large-scale rotating machinery, a new kind of embedded intelligent local set is introduced in the paper for machine condition monitoring and fundamental diagnosis. Its functions include high-speed acquisition of vibration signals, time-frequency analyses, ANN-based fault diagnosis and remote communications. The experimental results show that it performs with higher efficiency with real time, reliability and accuracy in data acquisition, vibration monitoring and typical fault diagnosis.
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Key words
rotating machinery, vibration fault diagnose, embedded technology, artificial neural-network diagnosis
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