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Statistical Machine Learning Strategy and Data Fusion for Detecting Incipient ITSC Faults in IM

Statistical Machine Learning Strategy and Data Fusion for Detecting Incipient ITSC Faults in IM

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_58000f63c96947adaa256c258ca1b904

Statistical Machine Learning Strategy and Data Fusion for Detecting Incipient ITSC Faults in IM

About this item

Full title

Statistical Machine Learning Strategy and Data Fusion for Detecting Incipient ITSC Faults in IM

Publisher

Basel: MDPI AG

Journal title

Machines (Basel), 2023-07, Vol.11 (7), p.720

Language

English

Formats

Publication information

Publisher

Basel: MDPI AG

More information

Scope and Contents

Contents

The new technological developments have allowed the evolution of the industrial process to this new concept called Industry 4.0, which integrates power machines, robotics, smart sensors, communication systems, and the Internet of Things to have more reliable automation systems. However, electrical rotating machines like the Induction Motor (IM) are...

Alternative Titles

Full title

Statistical Machine Learning Strategy and Data Fusion for Detecting Incipient ITSC Faults in IM

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_58000f63c96947adaa256c258ca1b904

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_58000f63c96947adaa256c258ca1b904

Other Identifiers

ISSN

2075-1702

E-ISSN

2075-1702

DOI

10.3390/machines11070720

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