2024
DOI: 10.3390/s24123953
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Failure Mode Classification for Rolling Element Bearings Using Time-Domain Transformer-Based Encoder

Minh Tri Vu,
Motoaki Hiraga,
Nanako Miura
et al.

Abstract: In this paper, we propose a Transformer-based encoder architecture integrated with an unsupervised denoising method to learn meaningful and sparse representations of vibration signals without the need for data transformation or pre-trained data. Existing Transformer models often require transformed data or extensive computational resources, limiting their practical adoption. We propose a simple yet competitive modification of the Transformer model, integrating a trainable noise reduction method specifically ta… Show more

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