Impact of noise model on the performance of algorithms for fault diagnosis in rolling bearings-Reference-Cited by-同舟云学术

Impact of noise model on the performance of algorithms for fault diagnosis in rolling bearings

Published:2023-04 Issue: Volume:188 Page:109975
ISSN:0888-3270
Container-title:Mechanical Systems and Signal Processing
language:en
Short-container-title:Mechanical Systems and Signal Processing

Author:

Pancaldi Fabrizio^ORCID,Dibiase Luca,Cocconcelli Marco^ORCID

Publisher

Elsevier BV

Subject

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

Reference55 articles.

1. A review on signal processing techniques for bearing diagnostics;Saufi;Int. J. Mech. Eng. Technol.,2017

2. A systematic review of machine learning algorithms for prognostics and health management of rolling element bearings: fundamentals, concepts and applications;Singh;Meas. Sci. Technol.,2021

3. Development of a methodology for condition-based maintenance in a large-scale application field;Cocconcelli;Machines,2018

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

5. Deep learning aided data-driven fault diagnosis of rotatory machine: A comprehensive review;Mushtaq;Energies,2021

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