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Proceedings Paper

An embedded intelligent monitoring system for rotating machiney vibrations
Author(s): Li Wang; Qingkai Han; Mo Zhang; Tianxia Zhang; Bangchun Wen
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Paper 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.

Paper Details

Date Published: 9 January 2008
PDF: 6 pages
Proc. SPIE 6794, ICMIT 2007: Mechatronics, MEMS, and Smart Materials, 67941D (9 January 2008); doi: 10.1117/12.784389
Show Author Affiliations
Li Wang, Northeastern Univ. (China)
Qingkai Han, Northeastern Univ. (China)
Mo Zhang, Northeastern Univ. (China)
Tianxia Zhang, Northeastern Univ. (China)
Bangchun Wen, Northeastern Univ. (China)

Published in SPIE Proceedings Vol. 6794:
ICMIT 2007: Mechatronics, MEMS, and Smart Materials
Minoru Sasaki; Gisang Choi Sang; Zushu Li; Ryojun Ikeura; Hyungki Kim; Fangzheng Xue, Editor(s)

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