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2025-10-03T08:03:03Z

Relevant Categories

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	== Relevant Categories==		== Relevant Categories==
	[[Category:Dataset][Category:Predictive Maintenance][Category:Machine Learning]]		[[Category:Dataset]][[Category:Predictive Maintenance]][[Category:Machine Learning]]

Admino739mjm7 at 08:01, 3 October 2025

2025-10-03T08:01:45Z

← Older revision		Revision as of 08:01, 3 October 2025
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	<strong>Datasets about the full lifetime of bearings in machines under a range of operating conditions. </strong> [[File:Colour analysis.png\|thumb\|right\|<div style="font-size:88%;line-height: 1.5em">Image 1: Sample image for colour analysis (left) and resulting histogram with the background colour ignored (right) </div>]]		<strong>Datasets about the full lifetime of bearings in machines under a range of operating conditions. </strong>

	== Asset Description ==		== Asset Description ==

Admino739mjm7: Created page with "Datasets about the full lifetime of bearings in machines under a range of operating conditions.
Image 1: Sample image for colour analysis (left) and resulting histogram with the background colour ignored (right)
== Asset Description ==
This asset provides large and well documented datasets covering the full lifetime of bearings i..."

2025-10-03T08:01:31Z

Created page with "<strong>Datasets about the full lifetime of bearings in machines under a range of operating conditions. </strong> thumb|right|<div style="font-size:88%;line-height: 1.5em">Image 1: Sample image for colour analysis (left) and resulting histogram with the background colour ignored (right) </div> == Asset Description == <p style="line-height: 1.5em"> This asset provides large and well documented datasets covering the full lifetime of bearings i..."

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<strong>Datasets about the full lifetime of bearings in machines under a range of operating conditions. </strong> [[File:Colour analysis.png|thumb|right|<div style="font-size:88%;line-height: 1.5em">Image 1: Sample image for colour analysis (left) and resulting histogram with the background colour ignored (right) </div>]]

== Asset Description ==
<p style="line-height: 1.5em">
This asset provides large and well documented datasets covering the full lifetime of bearings in machines under a range of operating conditions. These data are useful for condition monitoring algorithm development, AI model training, testing and validation.
</p>

== Asset Details ==
=== Dataset Information ===
<p style="line-height: 1.5em">
Fully documented datasets acquired through accelerated lifetime testing of bearings. Data obtained through vibrational condition monitoring (using accelerometer sensors) and through acoustic condition monitoring (using microphone sensors) under a whole range of operating conditions.
*Healthy bearings and bearings with well-defined initial faults: indentations from ø145 µm to ø490 µm + 4 sizes of spall faults on the inner race
*Radial load from 0.7 kN to 9 kN
*Bearing temperatures from 30C to 55C
*Motor speed variations from 600 to 2000 rpm
*Various lubrication options: oil bath, oil recirculation, grease
*Stationary operating conditions versus different stationary speed and loading conditions

</p>

== Usage ==
<p style="line-height: 1.5em">
The datasets consist of time series binary files that can be downloaded. A full description of each dataset, as well as some free samples, are available upon request. The datasets can be used for:
*Classification models for diagnostic decision making
*Statistical models for feature selection
*Systems models for feature engineering
*Probabilistic prediction models for remaining useful lifetime estimation
*As a test bed for a machine learning models

</p>

=== Maturity===
<p style="line-height: 1.5em">
The datasets are fully documented and available. </p>

=== Licence===
Proprietary

== Resources ==
<ul>
<li>Datasets were created by Flanders Make (Belgium). For further information, please contact ''christophe.bruynseraede@flandersmake.be'' </li>
<li>Provided by [https://www.flandersmake.be/en Flanders Make]</li>
</ul>

==== Acknowledgement====
<p style="font-size:90%;line-height: 1.5em">
''Most of the datasets were created in the frame of the Living Lab Smart Maintenance project, with the support of VLAIO (Flanders Innovation & Entrepreneurship) in Flanders, Belgium''
</p>

== Relevant Categories==
[[Category:Dataset][Category:Predictive Maintenance][Category:Machine Learning]]

Bearing Fault Datasets - Revision history

Admino739mjm7: /* Relevant Categories */

Admino739mjm7 at 08:01, 3 October 2025