This study is utilized for submodule open-circuit fault detection uncertainty analysis of modular multilevel converters. The dataset consists of 8 uncertainty factors and 15 system variables under four operation scenarios. The 1000 sets of uncertainty factor samples are generated randomly as initial configuration of the system. The 15 system variables are obtained by 1000 Monte Carlo simulations. We found that there are 153 residual samples exceeded the threshold of 0.8, which indicated a high false alarm rate.

DOI Link: 
10.21227/04e7-qw72
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[1] Yantao Liao, Yi Zhang, "UQfault dataset: uncertainty of model based fault detection dataset based on a multilevel converter", IEEE Dataport, 2024. [Online]. Available: http://dx.doi.org/10.21227/04e7-qw72. Accessed: Feb. 10, 2025.
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doi = {10.21227/04e7-qw72},
url = {http://dx.doi.org/10.21227/04e7-qw72},
author = {Yantao Liao; Yi Zhang },
publisher = {IEEE Dataport},
title = {UQfault dataset: uncertainty of model based fault detection dataset based on a multilevel converter},
year = {2024} }
TY - DATA
T1 - UQfault dataset: uncertainty of model based fault detection dataset based on a multilevel converter
AU - Yantao Liao; Yi Zhang
PY - 2024
PB - IEEE Dataport
UR - 10.21227/04e7-qw72
ER -
Yantao Liao, Yi Zhang. (2024). UQfault dataset: uncertainty of model based fault detection dataset based on a multilevel converter. IEEE Dataport. http://dx.doi.org/10.21227/04e7-qw72
Yantao Liao, Yi Zhang, 2024. UQfault dataset: uncertainty of model based fault detection dataset based on a multilevel converter. Available at: http://dx.doi.org/10.21227/04e7-qw72.
Yantao Liao, Yi Zhang. (2024). "UQfault dataset: uncertainty of model based fault detection dataset based on a multilevel converter." Web.
1. Yantao Liao, Yi Zhang. UQfault dataset: uncertainty of model based fault detection dataset based on a multilevel converter [Internet]. IEEE Dataport; 2024. Available from : http://dx.doi.org/10.21227/04e7-qw72
Yantao Liao, Yi Zhang. "UQfault dataset: uncertainty of model based fault detection dataset based on a multilevel converter." doi: 10.21227/04e7-qw72