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The auto-monitoring of geo-technical centrifuge operating state based on weighted data fusion
Author(s) -
Ying Cheng,
Hong Jianzhong,
Xing Fu,
Dianchen Zheng,
Jianquan Zhang
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/2125/1/012033
Subject(s) - centrifuge , state (computer science) , sensor fusion , fusion , engineering , safety monitoring , computer science , artificial intelligence , algorithm , linguistics , philosophy , physics , microbiology and biotechnology , nuclear physics , biology
There are many parameters which could reflect the operating state of geotechnical centrifuge. However, only one parameter is detected generally ; this is insuficient and unsafe for the running of the geotechnical centrifuge. This paper put forward an auto-running sate monitoring method which based on the multi-parameters’ weighted data fusion. The way by multi-sensor acquirring the running state data of the geotechnical centrifuge, then processing the data with weighted data fusion could produce the comprehensive running state parameter, which feed forward to the control system to keep the equipment running in a safe manner. The method in this paper could be implemented automatically and the result for safety monitroing is sufficient, the effect is much more efficient.

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