Digital Twin of a Gear Root Crack Prognosis

Omri Matania, Eric Bechhoefer, Jacob Bortman

Research output: Contribution to journalArticlepeer-review

Abstract

Digital twins play a significant role in Industry 4.0, offering the potential to revolutionize machinery maintenance. In this paper, we introduce a new digital twin designed to address the open problem of predicting gear root crack propagation. This digital twin uses signal processing and model fitting to continuously monitor the condition of the root crack and successfully estimate the remaining time until immediate maintenance is required for the physical asset. The functionality of this new digital twin is demonstrated through the experimental data obtained from a planetary gear, where comparisons are made between the actual and estimated severity of the fault, as well as the remaining time until maintenance. It is shown that the digital twin addresses the open problem of predicting gear root crack propagation.

Original languageEnglish
Article number9883
JournalSensors
Volume23
Issue number24
DOIs
StatePublished - 1 Dec 2023

Keywords

  • digital twin
  • gear
  • prognosis
  • remaining time until maintenance
  • root crack

ASJC Scopus subject areas

  • Analytical Chemistry
  • Information Systems
  • Instrumentation
  • Atomic and Molecular Physics, and Optics
  • Electrical and Electronic Engineering
  • Biochemistry

Fingerprint

Dive into the research topics of 'Digital Twin of a Gear Root Crack Prognosis'. Together they form a unique fingerprint.

Cite this