Ismail, Mohamed AA and Windelberg, Jens and Bierig, Andreas and Bravo-Imaz, Iñaki and Arnaiz, Aitor (2023) Ball bearing vibration data for detecting and quantifying spall faults. Data in Brief. Elsevier. doi: 10.1016/j.dib.2023.109019. ISSN 2352-3409.
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Official URL: https://www.sciencedirect.com/science/article/pii/S2352340923001373?via%3Dihub
Abstract
Ball bearings are essential components of electromechanical systems, and their failures significantly affect the service lifetime of these systems. For highly reliable and safety-critical electromechanical systems in energy and aerospace sectors, early bearing fault detection and quantification are crucial. The vibration measurements of bearing fatigue faults, i.e., spalls, are typically induced by multiple excitation mechanisms depending on the fault size and the operating conditions. This data article contains vibration datasets for faulty ball bearings, including the common vibration excitation mechanisms for various fault sizes and operating conditions. These faults are artificially seeded on bearing races by a precise machining process to emulate realistic fatigue faults. This data article is beneficial for better understanding the vibration signal characteristics under different fault sizes and for validating condition monitoring methods for various industrial and aerospace applications.
Item URL in elib: | https://elib.dlr.de/194103/ | ||||||||||||||||||||||||
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Document Type: | Article | ||||||||||||||||||||||||
Title: | Ball bearing vibration data for detecting and quantifying spall faults | ||||||||||||||||||||||||
Authors: |
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Date: | 1 March 2023 | ||||||||||||||||||||||||
Journal or Publication Title: | Data in Brief | ||||||||||||||||||||||||
Refereed publication: | Yes | ||||||||||||||||||||||||
Open Access: | Yes | ||||||||||||||||||||||||
Gold Open Access: | Yes | ||||||||||||||||||||||||
In SCOPUS: | Yes | ||||||||||||||||||||||||
In ISI Web of Science: | Yes | ||||||||||||||||||||||||
DOI: | 10.1016/j.dib.2023.109019 | ||||||||||||||||||||||||
Publisher: | Elsevier | ||||||||||||||||||||||||
Series Name: | Elsevier | ||||||||||||||||||||||||
ISSN: | 2352-3409 | ||||||||||||||||||||||||
Status: | Published | ||||||||||||||||||||||||
Keywords: | Bearing defects condition monitoring health assessment predictive maintenance | ||||||||||||||||||||||||
HGF - Research field: | Aeronautics, Space and Transport | ||||||||||||||||||||||||
HGF - Program: | Aeronautics | ||||||||||||||||||||||||
HGF - Program Themes: | Components and Systems | ||||||||||||||||||||||||
DLR - Research area: | Aeronautics | ||||||||||||||||||||||||
DLR - Program: | L CS - Components and Systems | ||||||||||||||||||||||||
DLR - Research theme (Project): | L - Aircraft Systems | ||||||||||||||||||||||||
Location: | Braunschweig | ||||||||||||||||||||||||
Institutes and Institutions: | Institute of Flight Systems Institute of Flight Systems > Safety Critical Systems&Systems Engineering | ||||||||||||||||||||||||
Deposited By: | Ismail, Dr. Mohamed AA | ||||||||||||||||||||||||
Deposited On: | 25 Apr 2023 11:28 | ||||||||||||||||||||||||
Last Modified: | 25 Jan 2024 14:07 |
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