Reliable fault detection for train suspension systems using adaptive Kalman filter with Bayesian adaptation and cumulative sum algorithm
Structural Health Monitoring: An International Journal
Published online on February 12, 2026
Abstract
Structural Health Monitoring, Ahead of Print.
Fault detection methods for rail vehicle suspension systems include data-driven methods and model-based methods. Existing model-based methods often face a trade-off between computational efficiency and accuracy: standard linear models fail to adapt to ...
Fault detection methods for rail vehicle suspension systems include data-driven methods and model-based methods. Existing model-based methods often face a trade-off between computational efficiency and accuracy: standard linear models fail to adapt to ...