Intelligent bearing fault diagnosis dataset

Published: 24 November 2021| Version 1 | DOI: 10.17632/6x5s5hm6kr.1
Contributors:
Pouriya Amini Digehsara,
Saeed Nezamivand Chegini

Description

The experimental set of the faults simulator in the rotating machines made by the authors of the "Intelligent bearing fault diagnosis using swarm decomposition method and new hybrid particle swarm optimization algorithm" paper at Ahrar Institute of Technology and Higher Education (AITHE). This setup includes an electric motor of 0.5 hp, an inverter of 0.5 hp with the ability to change the speed between zero to 60 Hz, a belt-pulley set with a ratio of 2–1, a shaft with a length of 50 cm, and a diameter of 20 mm, two bearings, two anchor wheels for unbalancing, and a data logger. The accelerometer of the AC102-1A series and eight-channel data logger with the maximum sampling frequency of 250 kHz had been used to collect and record the vibration signals. The sensor used in this setup has a sensitivity of ± 50 g. The vibration data for different faults were obtained at the sampling rate of 17.85 kHz and the rotational speed of 1900 rpm. The bearings used in this system are of Nu 204 ECP type, the geometric specifications of which are presented in Fig. 18 (in the paper). The characteristics of the defects investigated in this experiment are described in Table 9 (in the paper). For further information read the paper (https://doi.org/10.1007/s00500-021-06307-x).

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Bearing Failure

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