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Meta-modeling of heterogeneous data streams: A dual-network approach for online personalized fault p...

Meta-modeling of heterogeneous data streams: A dual-network approach for online personalized fault p...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_crossref_primary_10_1080_24725854_2021_1918804

Meta-modeling of heterogeneous data streams: A dual-network approach for online personalized fault prognostics of equipment

About this item

Full title

Meta-modeling of heterogeneous data streams: A dual-network approach for online personalized fault prognostics of equipment

Author / Creator

Publisher

Abingdon: Taylor & Francis

Journal title

IIE transactions, 2022-07, Vol.54 (7), p.672-685

Language

English

Formats

Publication information

Publisher

Abingdon: Taylor & Francis

More information

Scope and Contents

Contents

In fault prognosis, the individual heterogeneity among degradation processes of equipment is a critical problem that decreases the reliability and stability of prognostic models. The presence of the diversity of degradation mechanisms, along with the complex temporal nature of multivariate measurements of equipment, make the existing approaches dif...

Alternative Titles

Full title

Meta-modeling of heterogeneous data streams: A dual-network approach for online personalized fault prognostics of equipment

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_crossref_primary_10_1080_24725854_2021_1918804

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_crossref_primary_10_1080_24725854_2021_1918804

Other Identifiers

ISSN

2472-5854

E-ISSN

2472-5862

DOI

10.1080/24725854.2021.1918804

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