Open AccessAn automatic update framework for fault diagnosis machine on BOG compressor
Author(s) -
Guangyao Xie,
Yifan Zeng,
Wenbo Zhu,
Zhongkun Wu,
Jingquan Liu
Publication year - 2020
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.179
H-Index - 26
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/461/1/012084
Subject(s) - bog , gas compressor , computer science , fault (geology) , discretization , reciprocating compressor , expert system , machine learning , artificial intelligence , engineering , geology , mechanical engineering , mathematics , ecology , mathematical analysis , seismology , biology , peat
The fault diagnosis onBoil-off Gas(BOG) compressor is necessary for the safety and economic benefits in operation. This paper proposed an automatic update framework for diagnosis machine on BOG compressor. Data discretization is applied to transform data through expert experience to Bayesian network. This framework is able to update diagnosis models from expert experience provided by operators.