Parsimonious Network Based on a Fuzzy Inference System (PANFIS) for Time Series Feature Prediction o...
Parsimonious Network Based on a Fuzzy Inference System (PANFIS) for Time Series Feature Prediction of Low Speed Slew Bearing Prognosis
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Basel: MDPI AG
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Language
English
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Publisher
Basel: MDPI AG
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Contents
In recent years, the utilization of rotating parts, e.g., bearings and gears, has been continuously supporting the manufacturing line to produce a consistent output quality. Due to their critical role, the breakdown of these components might significantly impact the production rate. Prognosis, which is an approach that predicts the machine failure,...
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Full title
Parsimonious Network Based on a Fuzzy Inference System (PANFIS) for Time Series Feature Prediction of Low Speed Slew Bearing Prognosis
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TN_cdi_doaj_primary_oai_doaj_org_article_0ab3c942666340a2a86bef3e8622bcbb
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_0ab3c942666340a2a86bef3e8622bcbb
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ISSN
2076-3417
E-ISSN
2076-3417
DOI
10.3390/app8122656
