SIMTSeg: A self-supervised multivariate time series segmentation method with periodic subspace projection and reverse diffusion for industrial process
X Bao, Y Zheng, J Zhong, L Chen - Advanced Engineering Informatics, 2024 - Elsevier
Subsequences with varied regimes in the industrial multivariate time series (MTS) are
closely associated with the dynamic status of the multi-phased industrial process. Time …
closely associated with the dynamic status of the multi-phased industrial process. Time …
Estimation of machinery's remaining useful life in the presence of non-Gaussian noise by using a robust extended Kalman filter
Estimation of the remaining useful life (RUL) of industrial machinery is essential for condition-
based maintenance (CBM). While numerous papers have explored this issues, challenges …
based maintenance (CBM). While numerous papers have explored this issues, challenges …
Novelty detection for long-term diagnostic data with Gaussian and non-Gaussian disturbances using a support vector machine
F Moosavi, H Shiri, G Vashishtha… - Measurement …, 2024 - iopscience.iop.org
In condition monitoring lack of properly balanced data sets with faulty and healthy cases
makes proper condition recognition very challenging. In many cases, one may have good …
makes proper condition recognition very challenging. In many cases, one may have good …