1. ☆ CWRU (Case Western Reserve University Bearing Data Center)
data download connection (https://csegroups.case.edu/bearingdatacenter/pages/welcome-case-western-reserve-university-bearing-data-center-website)
Method for automatic download and use in python https://github.com/Litchiware/cwru Method used in
R language: https://github.com/coldfir3/bearing_fault_analysis
2. ☆ MFPT (Mechanical Failure Prevention Technology Society)
Dr. Eric Bechhoefer, chief engineer of NRG Systems, represents MFPT in assembly and preparation of data.
Data link: (https://mfpt.org/fault-data-sets/)
Acoustics and vibration database link (http://data-acoustics.com/measurements/bearing-faults/bearing-2/)
MATLAB documentation about MFPT Examples of fault diagnosis of bearing data.
Connect (https://ww2.mathworks.cn/help/predmaint/examples/Rolling-Element-Bearing-Fault-Diagnosis.html)
3. ☆
Link to the German University of Paderborn : https://mb.uni-paderborn.de/ kat / forschung / datacenter / bearing-datacenter /
4. ☆ FEMTO-ST bearing data set
The data set used during the PHM IEEE 2012 data challenge established by the FEMTO-ST Institute [5-7].
FEMTO-ST website: https://www.femto-st.fr/en
github link: https://github.com/wkzs111/phm-ieee-2012-data-challenge-dataset
http: // data-acoustics. com / measurements / bearing-faults / bearing-6 /
5. ☆ Cincinnati IMS
data link https://ti.arc.nasa.gov/tech/dash/groups/pcoe/prognostic-data-repository/
related papers [8, 9].
6. University of Connecticut
data link: https://figshare.com/articles/Gear_Fault_Data/6127874/1
7.XJTU-SY Bearing Datasets (Xi'an Jiaotong University Bearing Datasets)
Link: http://biaowang.tech/xjtu-sy-bearing-datasets/
8. Southeast University
github connection: https://github.com/cathysiyu/Mechanical-datasets
9.Acoustics and Vibration Database (Vibration and Acoustic Database)
provides a public welfare website link for a mobile phone vibration failure data set: http://data-acoustics.com/
10. Mechanical equipment fault diagnosis data set and technical data Daquan
There are more mechanical equipment fault data materials: https://mekhub.cn/machine-diagnosis
11. CoE Datasets NASA Forecast Data Repository
Link: https://ti.arc.nasa.gov/tech/dash/groups/pcoe/prognostic-data-repository/
[algae runway data set] [CFRP composite data Set] [Milling Data Set]
[Bearing Data Set] [Battery Data Set] [Turbo Fan Engine Degradation Simulation Data Set] [PHM08 Challenge Data Set] [IGBT Accelerated Aging Sata Set] [Catapult] Data Set] [FEMTO Bearing Data group] [random battery usage data] [capacitor electrically stress data set] [overload the MOSFET heat aging data set] [capacitor electrically stress data set - 2] [HIRF battery data group]
Transfer rotating machinery fault diagnosis data set finishing disclosed
