Feature selection and fault‐severity classification–based machine health assessment methodology for point machine sliding‐chair degradation-Reference-Cited by-同舟云学术

Feature selection and fault‐severity classification–based machine health assessment methodology for point machine sliding‐chair degradation

Published:2019-01-06 Issue:4 Volume:35 Page:1081-1099
ISSN:0748-8017
Container-title:Quality and Reliability Engineering International
language:en
Short-container-title:Qual Reliab Engng Int

Author:

Atamuradov Vepa¹^ORCID,Medjaher Kamal²,Camci Fatih³,Zerhouni Noureddine⁴,Dersin Pierre⁵,Lamoureux Benjamin⁵

Affiliation:

1. Assystem Energy & Infrastructure, Imagine Laboratory Courbevoie France

2. Production Engineering Laboratory (LGP)Toulouse University, INPT‐ENIT Tarbes France

3. Amazon Inc. Austin Texas USA

4. FEMTO‐ST, UMR CNRS‐UFC/ENSMM France

5. ALSTOM Transport France

Publisher

Wiley

Subject

Management Science and Operations Research,Safety, Risk, Reliability and Quality

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/qre.2446

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4. A review of diagnostics and prognostics of low-speed machinery towards wind turbine farm-level health management

5. Prognostics and health management design for rotary machinery systems—Reviews, methodology and applications

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