Comparing torsional and lateral vibration data for deep learning-based drive train gear diagnosis-Reference-Cited by-同舟云学术

Comparing torsional and lateral vibration data for deep learning-based drive train gear diagnosis

Published:2023-11 Issue: Volume:203 Page:110710
ISSN:0888-3270
Container-title:Mechanical Systems and Signal Processing
language:en
Short-container-title:Mechanical Systems and Signal Processing

Author:

Miettinen Jesse^ORCID,Haikonen Sampo^ORCID,Koene Ivar^ORCID,Keski-Rahkonen Joni,Viitala Raine^ORCID

Publisher

Elsevier BV

Subject

Computer Science Applications,Mechanical Engineering,Aerospace Engineering,Civil and Structural Engineering,Signal Processing,Control and Systems Engineering

Reference45 articles.

1. Latest developments in gear defect diagnosis and prognosis: A review;Kumar;Measurement,2020

2. A review on vibration-based condition monitoring of rotating machinery;Tiboni;Appl. Sci.,2022

3. Condition monitoring parameters for fault diagnosis of fixed axis gearbox: A review;Goyal;Arch. Comput. Methods Eng.,2017

4. Comparison of torsional vibration measurement techniques;Janssens,2014

5. Torque and rotational speed sensor based on resistance and capacitive grating for rotational shaft of mechanical systems;Chen;Mech. Syst. Signal Process.,2020

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