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Performance Degradation Prognosis Based on Relative Characteristic and Long Short-Term Memory Networ...

Performance Degradation Prognosis Based on Relative Characteristic and Long Short-Term Memory Networ...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_a7a11b8885674dc39d836f64484d1b7a

Performance Degradation Prognosis Based on Relative Characteristic and Long Short-Term Memory Network for Components of Brake Systems of in-Service Trains

About this item

Full title

Performance Degradation Prognosis Based on Relative Characteristic and Long Short-Term Memory Network for Components of Brake Systems of in-Service Trains

Author / Creator

Publisher

Basel: MDPI AG

Journal title

Applied sciences, 2022-11, Vol.12 (22), p.11725

Language

English

Formats

Publication information

Publisher

Basel: MDPI AG

More information

Scope and Contents

Contents

During the service life of brake systems, performance degradation of the components is inevitable. In order to grasp the health status of components of brake systems, and aiming at the problem that the performance degradation trend of the components of the brake system is not completely clear due to signal coupling between components, the influence...

Alternative Titles

Full title

Performance Degradation Prognosis Based on Relative Characteristic and Long Short-Term Memory Network for Components of Brake Systems of in-Service Trains

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_a7a11b8885674dc39d836f64484d1b7a

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_a7a11b8885674dc39d836f64484d1b7a

Other Identifiers

ISSN

2076-3417

E-ISSN

2076-3417

DOI

10.3390/app122211725

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