Advancing Predictive Maintenance: Median-Based Particle Filtering in MOSFET Prognostics
The burgeoning demand for effective predictive maintenance in industrial systems necessitates accurate prognostics of equipment's Remaining Useful Life (RUL). In particular, the prediction of RUL plays a crucial role in MOSFET devices for many applications to prevent failures and maintenance sc...
Saved in:
Main Authors: | Hadi E.F., Baharuddin M.Z.B., Zuhdi A.W.M. |
---|---|
Other Authors: | 59508922600 |
Format: | Article |
Published: |
International Information and Engineering Technology Association
2025
|
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Enhancing Remaining Useful Life Predictions in Predictive Maintenance of MOSFETs: The Efficacy of Integrated Particle Filter-Gaussian Process Regression Models
by: Hadi E.F., et al.
Published: (2025) -
Comparison of LULU and Median Filter for Image Denoising
by: Rahmat, Roushanak, et al.
Published: (2011) -
Performance Prognostics of Gas Turbines Using Nonlinear Filter
by: Ahsan, S., et al.
Published: (2023) -
Fingerprint image enhancement using median sigmoid filter
by: Abdul Hamid, Ainul Azura, et al.
Published: (2015) -
Uncorrelated weighted median filtering for noise removal in SuperDARN
by: Goh, C., et al.
Published: (2015)