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1
The Research of Intelligent Fault Diagnosis System Based on..:
, In:
2019 International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData)
,
Wen, Yingli
;
Zhu, Zhiliang
;
Dai, Yuxing
.. - p. 1120-1124 , 2019
Link:
https://doi.org/10.1109/iThings/GreenCom/CPSCom/SmartD..
RT T1 <cTitle>2019 International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData)</cTitle>: T1 <Title>The Research of Intelligent Fault Diagnosis System Based on Internet of Things</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-8875414&Exemplar=1&LAN=DE A1 Wen, Yingli A1 Zhu, Zhiliang A1 Dai, Yuxing A1 Hu, Jing A1 Chen, Changan YR 2019 K1 Fault diagnosis K1 Data acquisition K1 Zigbee K1 Mathematical model K1 Real-time systems K1 Particle filters K1 Internet of Things K1 Fault diagnosis, Particle filter, Zigbee, Pattern recognition, Internet of things SP 1120 OP 1124 LK http://dx.doi.org/https://doi.org/10.1109/iThings/GreenCom/CPSCom/SmartData.2019.00190 DO https://doi.org/10.1109/iThings/GreenCom/CPSCom/SmartData.2019.00190 SF ELIB - SuUB Bremen
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