Bearing run-to-failure datasets of UNSW

Published: 26 October 2021| Version 1 | DOI: 10.17632/h4df4mgrfb.1
Contributors:
,
, Siyuan Zhuang,

Description

The run-to-failure experiments data were collected at the University of New South Wales in 2019-2020, regarding the development of bearing fault severity assessment methods. The following journal paper [1] contains the description of the experiments and test rig information. [1] H. Zhang, P. Borghesani, R. B. Randall, and Z. Peng, “A benchmark of measurement approaches to track the natural evolution of spall severity in rolling element bearings,” Mech. Syst. Signal Process., vol. 166, p. 108466, 2022, doi: 10.1016/j.ymssp.2021.108466. Please consider citing this resource if relative to your work. Data of four experiments, named Test 1 to 4 according to Ref. [1], are stored in four folders respectively. Each folder contains two subfolders, one has all collected signals at 6 Hz, and the other has selected samples at 4 speeds (6,12,15,20 Hz). Each data file is named as vib_aaaaaaaaa_bb.mat: • aaaaaaaaa: is the running cycle of the shaft in this measurement • bb: is the shaft speed in Hz Each data file contains the following variables: • Fs: the sampling frequency • accH: acceleration (V) in horizontal direction • accV: acceleration (V) in vertical direction • enc1: encoder signal channel 1 (1024 pulses/rev) • enc2: encoder signal channel 2 (1024 pulses/rev) • load: the applied radial load on the test bearing • tacho: tacho signal of the shaft (1/rev) For any further information, please contact the Author or the Tribology and Machine Condition Monitoring group of UNSW Sydney.

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Institutions

University of New South Wales

Categories

Mechanical Vibration, Vibration Condition Monitoring

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