Fault classification in the process industry using polygon generation and deep learning
Fault classification in the process industry using polygon generation and deep learning
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Publisher
New York: Springer US
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Language
English
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Publisher
New York: Springer US
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Scope and Contents
Contents
This paper proposes a novel data preprocessing method that converts numeric data into representative graphs (polygons) expressing all of the relationships between data variables in a systematic way based on Hamiltonian cycles. The advantage of the proposed method is that it has an embedded feature extraction capability in which each generated polyg...
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Full title
Fault classification in the process industry using polygon generation and deep learning
Authors, Artists and Contributors
Author / Creator
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TN_cdi_proquest_journals_2656448184
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2656448184
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ISSN
0956-5515
E-ISSN
1572-8145
DOI
10.1007/s10845-021-01742-x
