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Latent Leakage Fault Identification and Diagnosis Based on Multi-Source Information Fusion Method fo...

Latent Leakage Fault Identification and Diagnosis Based on Multi-Source Information Fusion Method fo...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_dacdbeb28a8649f8a55dcea85ca34a8d

Latent Leakage Fault Identification and Diagnosis Based on Multi-Source Information Fusion Method for Key Pneumatic Units in Chinese Standard Electric Multiple Units (EMU) Braking System

About this item

Full title

Latent Leakage Fault Identification and Diagnosis Based on Multi-Source Information Fusion Method for Key Pneumatic Units in Chinese Standard Electric Multiple Units (EMU) Braking System

Publisher

Basel: MDPI AG

Journal title

Applied sciences, 2019-01, Vol.9 (2), p.300

Language

English

Formats

Publication information

Publisher

Basel: MDPI AG

More information

Scope and Contents

Contents

To identify and diagnose the latent leakage faults of key pneumatic units in the Chinese standard Electric Multiple Units (EMU) braking system, a multi-source information fusion method based on Kalman filtering, sequential probability ratio test (SPRT), and support vector machine (SVM) is proposed. The relay valve is taken as an example for researc...

Alternative Titles

Full title

Latent Leakage Fault Identification and Diagnosis Based on Multi-Source Information Fusion Method for Key Pneumatic Units in Chinese Standard Electric Multiple Units (EMU) Braking System

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_dacdbeb28a8649f8a55dcea85ca34a8d

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_dacdbeb28a8649f8a55dcea85ca34a8d

Other Identifiers

ISSN

2076-3417

E-ISSN

2076-3417

DOI

10.3390/app9020300

How to access this item