Multi-sensor observer-based residual learning with Auto-Permutation Feature Importance for fault diagnosis of multistage centrifugal pumps under variable pressures
- DOI
- 10.1038/s41598-025-32726-z
- Published
- 2025-12-17
- Container
- Scientific Reports
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1038/s41598-025-32726-z,
title = {Multi-sensor observer-based residual learning with Auto-Permutation Feature Importance for fault diagnosis of multistage centrifugal pumps under variable pressures},
author = {Saif Ullah and Muhammad Farooq Siddique and Jong-Myon Kim},
year = {2025},
journal = {Scientific Reports},
doi = {10.1038/s41598-025-32726-z},
url = {https://doi.org/10.1038/s41598-025-32726-z}
}RIS
TY - JOUR TI - Multi-sensor observer-based residual learning with Auto-Permutation Feature Importance for fault diagnosis of multistage centrifugal pumps under variable pressures AU - Saif Ullah AU - Muhammad Farooq Siddique AU - Jong-Myon Kim PY - 2025 JO - Scientific Reports DO - 10.1038/s41598-025-32726-z UR - https://doi.org/10.1038/s41598-025-32726-z ER -
APA
Ullah, S., Siddique, M. F., & Kim, J. (2025). Multi-sensor observer-based residual learning with Auto-Permutation Feature Importance for fault diagnosis of multistage centrifugal pumps under variable pressures. Scientific Reports. https://doi.org/10.1038/s41598-025-32726-z
Source records
- crossref · retrieved 2026-09-26T07:45:35.691Z