Development of an Operational Digital Twin of a Locomotive Parking Brake for Fault Diagnosis

Gabriel Davidyan, Jacob Bortman, Ron S. Kenett

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

In recent years, a growing role in digital technologies has been filled by model-based digital twinning. A digital twin produces a one-to-one mapping of a physical structure, operating in the digital domain. Combined with sensor technology and analytics, a digital twin can provide enhanced monitoring, diagnostic, and optimization capabilities. This research harnesses the significant capabilities of digital twining for the unmitigated challenge of fault type classification of a locomotive parking brake. We develop a digital twin of the locomotive parking brake and suggest a method for fault type classification based on the digital twin. The diagnostic ability of the method is demonstrated on a large experimental dataset.

Original languageEnglish
Article number17959
JournalScientific Reports
Volume13
Issue number1
DOIs
StatePublished - 1 Dec 2023

ASJC Scopus subject areas

  • General

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