An automatic update framework for fault diagnosis machine on BOG compressor Article Swipe

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Guangyao Xie , Yuyun Zeng , Wenbo Zhu , Zhongkun Wu , Jingquan Liu ·

YOU? · · 2020 · Open Access · · DOI: https://doi.org/10.1088/1755-1315/461/1/012084

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.

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Artificial Intelligence

Engineering

Mechanical Engineering

Mathematics

Biology

Peat

Mathematical Analysis

Ecology

Seismology

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Bog Gas compressor Computer science Fault (geology) Discretization Reciprocating compressor Expert system Machine learning Artificial intelligence Engineering Geology Mechanical engineering Mathematics Biology Peat Mathematical analysis Ecology Seismology

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Type: article
Language: en
Landing Page: https://doi.org/10.1088/1755-1315/461/1/012084
OA Status: diamond
References: 4
Related Works: 10
OpenAlex ID: https://openalex.org/W3018316607

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DOI: https://doi.org/10.1088/1755-1315/461/1/012084

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Title: An automatic update framework for fault diagnosis machine on BOG compressor

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Type: article

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Language: en

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Publication year: 2020

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Publication date: 2020-04-01

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Authors: Guangyao Xie, Yuyun Zeng, Wenbo Zhu, Zhongkun Wu, Jingquan Liu

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Landing page: https://doi.org/10.1088/1755-1315/461/1/012084

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Concepts: Bog, Gas compressor, Computer science, Fault (geology), Discretization, Reciprocating compressor, Expert system, Machine learning, Artificial intelligence, Engineering, Geology, Mechanical engineering, Mathematics, Biology, Peat, Mathematical analysis, Ecology, Seismology

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