Anomaly Detection of Marine Diesel Engines: A Novel Approach using Transformer Neural Networks for Reconstruction and Residual Analysis

Anomaly Detection of Marine Diesel Engines: A Novel Approach using Transformer Neural Networks for Reconstruction and Residual Analysis

This paper proposes an unsupervised approach for anomaly detection in marine diesel engines using a transformer neural network based AutoEncoder (TAE) and residual analysis with Sequential Probability Ratio Test (SPRT) and Sum of Squares of Normalized Residuals (SSNR). This approach effectively capt...

Full description

Saved in:
Bibliographic Details
Main Authors: Qin Liang, Erik Vanem, Knut Erik Knutsen, Vilmar Æsøy, Houxiang Zhang
Format: Article
Language:English
Published: The Prognostics and Health Management Society 2024-10-01
Series:International Journal of Prognostics and Health Management
Subjects:
marine diesel engine
phm
deep learning
machine learning
Online Access:https://papers.phmsociety.org/index.php/ijphm/article/view/3853
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://papers.phmsociety.org/index.php/ijphm/article/view/3853

Similar Items