A Novel Reliability Estimation Methodology Towards the Design and Implementation of Symmetric Multilevel Inverter for Long Run Applications

Daki Krishnachaitanya, Chitra A., Maher Al-Greer, S.S. Biswas

Research output: Contribution to journalArticlepeer-review

Abstract

Multilevel inverters are gaining attention in
numerous applications due to their better performance
attributes. Still, their utility in long-run applications remain as a
critical concern due to the reliability issues. This work proposes a
novel reliability estimation methodology tailored specifically for
MLIs. The proposed reliability method employs advanced
simulation techniques and statistical models to estimate the
failure probabilities of critical components within the MLI. The
proposed methodology provides more optimal assessment of the
MLI’s expected reliability over time. This enables designers and
engineers to make informed decisions regarding component
selection, system configuration, and maintenance schedules to
enhance the long-term reliability of the MLI. Considering the
drawbacks of the existing MLIs, this work has proposed a new
symmetrical 7 level inverter with promising functional and
reliability traits. The proposed topology appears to surpass
existing topologies in several key metrics, including switching
losses, reliability, THD, and component count. The performance
of the proposed MLI have been validated through hardware
results. These results show that the reliability methodology
implemented can accurately estimate the MLI’s reliability across
various scenarios, enabling the identification of potential failure
points and the formulation of strategies to mitigate reliability
risks
Original languageEnglish
JournalIET Power Electronics
Publication statusAccepted/In press - 13 Dec 2024

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