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This dataset is a collection of vibration data (x, y, z) from four machine conditions: normal, bearing fault, misalignment, and unbalance. There are 4000 files, each folder contains 1000 CSV files. Specification: Machine: Panasonic GP –129JXK Sensor: enDAQ LOG-0002-100G-DC-8GB-PC Shock & Vibration Sensor Length: 5 seconds per CSV file Sampling rate: 20 kHz. Repository for baseline methods: https://github.com/bagustris/vbl-va001. Refer to our paper for detail: https://link.springer.com/article/10.1007/s42417-023-00959-9 The preprint is also available at ArXiv: https://arxiv.org/abs/2212.1473.
Please cite our JVET paper if you used this dataset; a preprint is available at https://arxiv.org/abs/2212.14732.
predictive maintenance, vibration, vibration analysis
predictive maintenance, vibration, vibration analysis
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