Spectral Aliasing Pretext: A novel task for Self-Supervised fault diagnosis in rotating machinery

arXiv:2608.05705 · cs.LG, cs.AI · Submitted 2026-08-06 · Read on arXiv

Victor Gialis, Maxime Metz, David Esteve, Abdenour Soualhi

cs.LG, cs.AI

Submitted: 2026-08-06

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Transformer — 15× in this paper · explained in 2 episodes
• Linear Probing — 11× in this paper · explained in 3 episodes
• Fine-Tuning — 9× in this paper · explained in 5 episodes
• Spectral Aliasing Pretext — 8× in this paper
• Decoder — 5× in this paper · explained in 2 episodes
• Augmentation — 4× in this paper · explained in 2 episodes
• Self-Supervised Learning — 4× in this paper · explained in 8 episodes
• Transformer Encoder — 4× in this paper · explained in 2 episodes
• Transformers — 4× in this paper · explained in 2 episodes
• Accuracy — 2× in this paper · explained in 1 episode
• Contrastive Learning — 2× in this paper · explained in 9 episodes
• Core — 2× in this paper · explained in 2 episodes
• Representation Learning — 2× in this paper · explained in 3 episodes
• Transformer Architecture — 2× in this paper · explained in 4 episodes
• Benchmark — 1× in this paper · explained in 2 episodes
• Case Western Reserve University — 1× in this paper
• Consistency — 1× in this paper · explained in 3 episodes
• Data Augmentation — 1× in this paper · explained in 10 episodes
• Data Leakage — 1× in this paper · explained in 2 episodes
• Domain Shift — 1× in this paper · explained in 7 episodes
• Embeddings — 1× in this paper · explained in 2 episodes
• Evaluation Protocol — 1× in this paper · explained in 2 episodes
• Feature Extraction — 1× in this paper · explained in 3 episodes
• Foundation Model — 1× in this paper · explained in 3 episodes
• Generalization — 1× in this paper · explained in 14 episodes
• Hyperparameters — 1× in this paper · explained in 2 episodes
• Inductive Bias — 1× in this paper · explained in 3 episodes
• Masked Autoencoder (MAE) — 1× in this paper · explained in 5 episodes
• Physical Constraints — 1× in this paper · explained in 7 episodes
• Predictive Maintenance — 1× in this paper · explained in 2 episodes
• Reconstruction Error — 1× in this paper · explained in 2 episodes
• Redundancy — 1× in this paper · explained in 2 episodes
• Robustness — 1× in this paper · explained in 6 episodes
• Self-Supervised Learning (SSL) — 1× in this paper · explained in 6 episodes
• Self-supervised Pretraining — 1× in this paper · explained in 3 episodes
• Transfer Learning — 1× in this paper · explained in 16 episodes
• Weight Decay — 1× in this paper · explained in 2 episodes

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