Machines That Predict Their Own Failure: A Review Of Self-Predictive Maintenance Using Sensors, Machine Learning And Digital Twins
- DOI
- 10.5281/zenodo.24095993
- Published
- 2026
- Container
- Not recorded
- Publisher
- Zenodo
- Open access
- yes
Credibility signals
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Cite this work
BibTeX
@article{allodium:10.5281/zenodo.24095993,
title = {Machines That Predict Their Own Failure: A Review Of Self-Predictive Maintenance Using Sensors, Machine Learning And Digital Twins},
author = {Inamdar Mohammad Hadi Mohammad Shaker and Prof. C. A. Kolse and Prof. M. C. Kolse and Prof. S. K. Said},
year = {2026},
doi = {10.5281/zenodo.24095993},
url = {https://doi.org/10.5281/zenodo.24095993}
}RIS
TY - JOUR TI - Machines That Predict Their Own Failure: A Review Of Self-Predictive Maintenance Using Sensors, Machine Learning And Digital Twins AU - Inamdar Mohammad Hadi Mohammad Shaker AU - Prof. C. A. Kolse AU - Prof. M. C. Kolse AU - Prof. S. K. Said PY - 2026 DO - 10.5281/zenodo.24095993 UR - https://doi.org/10.5281/zenodo.24095993 ER -
APA
Shaker, I. M. H. M., Kolse, P. C. A., Kolse, P. M. C., & Said, P. S. K. (2026). Machines That Predict Their Own Failure: A Review Of Self-Predictive Maintenance Using Sensors, Machine Learning And Digital Twins. https://doi.org/10.5281/zenodo.24095993