SPT-AD: Self-Supervised Pyramidal Transformer Network-Based Anomaly Detection of Time Series Vibration Data

SPT-AD: Self-Supervised Pyramidal Transformer Network-Based Anomaly Detection of Time Series Vibration Data

Bearing fault diagnosis is a key factor in maintaining the stability and performance of mechanical systems, necessitating reliable methods for anomaly detection and prediction. Unlike traditional conservative maintenance approaches, the importance of predictive maintenance where real-time condition...

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Bibliographic Details
Main Authors: Seokhyun Gong, Taeyong Kim, Jongpil Jeong
Format: Article
Language:English
Published: MDPI AG 2025-05-01
Series:Applied Sciences
Subjects:
deep learning
anomaly detection
transformer
self-supervised
time series data
Online Access:https://www.mdpi.com/2076-3417/15/9/5185
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