Edge-Deployed Prognostics: Real-Time Self-Calibrating Thermal Management for Power MOSFETs via Adaptive Parameter Estimation

Copyright & License

Copyright © 2026 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

BibTeX

@article{200828,
        author = {Amita Asthana and Aryan Yadav and Ashutosh Kumar Singh and Ayush Singh and Deepansh Pandey},
        title = {Edge-Deployed Prognostics: Real-Time Self-Calibrating Thermal Management for Power MOSFETs via Adaptive Parameter Estimation},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {12},
        pages = {1505-1513},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=200828},
        abstract = {},
        keywords = {Power MOSFETs, Prognostics and Health Management (PHM), Adaptive Thermal Control, Recursive Least Squares (RLS), TinyML, Edge Computing, Thermal Sensitive Electrical Parameter (TSEP), Degradation Tracking.},
        month = {May},
        }

Cite This Article

Asthana, A., & Yadav, A., & Singh, A. K., & Singh, A., & Pandey, D. (2026). Edge-Deployed Prognostics: Real-Time Self-Calibrating Thermal Management for Power MOSFETs via Adaptive Parameter Estimation. International Journal of Innovative Research in Technology (IJIRT), 12(12), 1505–1513.

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