DocumentCode :
2468800
Title :
Research on the health status monitoring model and monitoring system of destruction equipment for high-risk goods based on the fuzzy combination mode
Author :
Zhang, Jing ; Li, Yanliang ; Jing Zhang
Author_Institution :
Sch. of Autom. Sci. & Electr. Eng., Beihang Univ., Beijing, China
fYear :
2012
fDate :
23-25 May 2012
Firstpage :
1
Lastpage :
6
Abstract :
The high-risk and complexity of highly dangerous goods destruction need urgently a deep analysis and judgment to the variety health status of destroyed equipment in operation to ensure the operations safety,so the health status monitoring model of destruction equipment was constructed. In this paper it determined the operating status monitoring parameters and equipment unit parameters by reliability and pre-risk analysis, studied the health trends judgment methods of operating status parameters by statistical process control (SPC) and equipment PLC combination, the health status analysis methods of the operating state parameters subsystem related equipment based on the Profust. Finally it composed both analysis methods to judge the health status of destroyed equipment. While it builds the health status monitoring network of destruction equipment, the hardware and software part of actual destruction system. The model provides a new way for the establishment of high-risk operations equipment health status monitoring systems based on PHM.
Keywords :
condition monitoring; fuzzy set theory; production equipment; programmable controllers; reliability; risk management; statistical process control; PHM; Profust; dangerous goods destruction; destruction equipment; equipment PLC combination; equipment health status monitoring systems; fuzzy combination mode; health status monitoring model; health status monitoring network; health trends judgment method; high-risk goods; operating state parameters subsystem related equipment; operating status monitoring parameter; operating status parameter; operations safety; prerisk analysis; reliability; statistical process control; PHM; dangerous goods destruction equipment (DGDE); monitor mode; preliminary hazard analysis(PHA); profust; statistical process control (SPC);
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Prognostics and System Health Management (PHM), 2012 IEEE Conference on
Conference_Location :
Beijing
ISSN :
2166-563X
Print_ISBN :
978-1-4577-1909-7
Electronic_ISBN :
2166-563X
Type :
conf
DOI :
10.1109/PHM.2012.6228825
Filename :
6228825
Link To Document :
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