Degradation Modeling and Reliability Assessment of Capacitors

Douglas DeVoto, Joshua Major, Anunay Gupta, Om Yadav, Arighna Roy

Research output: Contribution to conferencePaperpeer-review

3 Scopus Citations


The degradation of capacitors under accelerated stress conditions occur in a monotonic and non-linear fashion. Several efforts have been made to model the degradation behavior of capacitor considering either physics-of-failure models or statistical models and subsequently estimate its reliability and lifetime parameters. But most of these models fail to reflect the physical properties of the degradation path, which varies according to several intrinsic and extrinsic factors. These factors introduce random and temporal uncertainty among the population of capacitors. The gamma stochastic process can model both type of uncertainties among the population of capacitors. In this paper, we model the capacitor degradation by non-homogeneous gamma stochastic process in which both the model parameters (shape and scale) are dependent on stress variables. The model parameters are estimated using the maximum likelihood estimation approach.


ConferenceASME 2019 International Technical Conference and Exhibition on Packaging and Integration of Electronic and Photonic Microsystems, InterPACK 2019
Country/TerritoryUnited States

Bibliographical note

Publisher Copyright:
Copyright © 2019 ASME.

NREL Publication Number

  • NREL/CP-5400-73968


  • Capacitors
  • Data-driven modeling
  • Degradation modeling
  • Non-homogeneous gamma stochastic process
  • Remaining useful life


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