Quantitative Analysis of Reliability and Cost Function of 15-Level Inverter

Multilevel inverters have gained significant attention in high-voltage and high-power applications due to their high quality and smoother output with reduced harmonic distortion and low dv/dt stress compared to traditional inverters. Despite the reduction in the switches that have been made, reliability remains a critical challenge. The reliability of these inverters tends to decrease due to the high failure rate of the switches and the capacitors involved in those inverters. This paper presents a novel approach to estimating the cost function and conducting a reliability analysis in a reduced-switch multilevel inverter. It compares it with real-time switches using the military handbook 217F. The failure rate of major components like diodes, capacitors, and switches is mathematically calculated and evaluated. Furthermore, the mean time between failures and recovery time is calculated in the reduced switch 15-level MLI, and further steps to improve reliability have been discussed. A performance comparison of silicon and silicon carbide material switches is made. All simulations are performed in the MATLAB software, and the results are validated in a hardware configuration. This work will benefit industry professionals and researchers in the advancement of multilevel inverters to the next level.

Authors

Institutions

Publication Details

Journal
IEEE Access
Published
2025-01-01
DOI
https://doi.org/10.1109/access.2025.3616252
Citations
1
Primary Topic
Multilevel Inverters and Converters
Type
article
Field-Weighted Citation Impact
0.73
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Quantitative Analysis of Reliability and Cost Function of 15-Level Inverter

Albert Alexander Stonier, N Subramanian
1 citations
IEEE Access
Multilevel Inverters and Converters
0.73
article

Quantitative Analysis of Reliability and Cost Function of 15-Level Inverter

Albert Alexander Stonier, N Subramanian
article en
1 citations

Abstract

Multilevel inverters have gained significant attention in high-voltage and high-power applications due to their high quality and smoother output with reduced harmonic distortion and low dv/dt stress compared to traditional inverters. Despite the reduction in the switches that have been made, reliability remains a critical challenge. The reliability of these inverters tends to decrease due to the high failure rate of the switches and the capacitors involved in those inverters. This paper presents a novel approach to estimating the cost function and conducting a reliability analysis in a reduced-switch multilevel inverter. It compares it with real-time switches using the military handbook 217F. The failure rate of major components like diodes, capacitors, and switches is mathematically calculated and evaluated. Furthermore, the mean time between failures and recovery time is calculated in the reduced switch 15-level MLI, and further steps to improve reliability have been discussed. A performance comparison of silicon and silicon carbide material switches is made. All simulations are performed in the MATLAB software, and the results are validated in a hardware configuration. This work will benefit industry professionals and researchers in the advancement of multilevel inverters to the next level.

IEEE AccessVol. 13
Vellore Institute of Technology University (IN)
Openalex Percentile: Top 23%
Multilevel Inverters and Converters
0.73
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Quantitative Analysis of Reliability and Cost Function of 15-Level Inverter — Albert Alexander Stonier, N Subramanian · IEEE Access (2025) | TGRS Research Map | TGRS