2023 IEEE Green Technologies Conference (GreenTech), Denver, CO, USA, 2023, pp. 265-269, ISBN:978-1-6654-9287-4, DOI: 10.1109/GreenTech56823.2023.10173807

Interpretable Fault Prognostics for Switch Mode Power Supplies

Declan Mallamo1, Michael H. Azarian1, and Michael G. Pecht1
1Center for Advanced Life Cycle Engineering (CALCE), University of Maryland, College Park, MD USA

For more information about this article and related research, please contact Dr. Michael H. Azarian and Prof. Michael G. Pecht.


Switch mode power supplies present light weight power conversion solutions, but degradation affecting sub-components have been known to transition the converter to move to unstable dynamic operations. This paper presents a method to build interpretive prognostics for switch mode power supplies with electromagnetic input filters by modeling sub-component degradation trajectories and using discrete event simulation to generate lifecycle data associated with the system impedances to use as inputs into machine learning based prognostics to make interpretable remaining useful life predictions. As a usage case, a buck-boost switch mode power supply with parasitic elements for all components and time-dependent degradation concerning the input and output filtering capacitor is analyzed.

This article is available online here and to CALCE Consortium Members for personal review.

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