Reliability Analysis of a Multilevel Inverter Applied to Stratospheric Drones Using Fault Tree Analysis

Stratospheric drones operating in extreme environments are very important for predicting reliability and are high-efficiency, high-performance, and lightweight power units. Multilevel inverters are suitable for application as power conversion units for stratospheric drones. A guideline is needed to...

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Main Authors: Jung-Hwan Lee, Hyang-Sig Jun, Hee-Mun Park, Jin-Hyun Park, Sang-Kil Lim
Format: Article
Language:English
Published: MDPI AG 2023-12-01
Series:Electronics
Subjects:
Online Access:https://www.mdpi.com/2079-9292/12/24/4952
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author Jung-Hwan Lee
Hyang-Sig Jun
Hee-Mun Park
Jin-Hyun Park
Sang-Kil Lim
author_facet Jung-Hwan Lee
Hyang-Sig Jun
Hee-Mun Park
Jin-Hyun Park
Sang-Kil Lim
author_sort Jung-Hwan Lee
collection DOAJ
description Stratospheric drones operating in extreme environments are very important for predicting reliability and are high-efficiency, high-performance, and lightweight power units. Multilevel inverters are suitable for application as power conversion units for stratospheric drones. A guideline is needed to evaluate whether it is suitable for practical application from a reliability perspective among various multilevel topologies. Existing reliability prediction models cannot reflect the operating characteristics of multilevel inverters. In this paper, we analyze the driving characteristics of each topology from the perspective of half-bride, which is the basic configuration of multilevel inverters, and we propose a fault tree analysis (FTA) design with three operating modes. The proposed method has the advantage of being able to easily analyze the failure rate by expanding to single-phase and three-phase and to analyze the failure rate according to changes in modulation index (MI) and power factor (PF). The failure rates of the proposed method and the part count method are analyzed using MIL-HDBK-217F. We also analyze the impact of different various operating characteristics on the failure rate. From a reliability perspective, we provide a variety of guidelines for selecting a multilevel topology that fits the operation conditions.
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spelling doaj.art-0b8ef07fcc704704a0cc548b2286dd3a2023-12-22T14:05:01ZengMDPI AGElectronics2079-92922023-12-011224495210.3390/electronics12244952Reliability Analysis of a Multilevel Inverter Applied to Stratospheric Drones Using Fault Tree AnalysisJung-Hwan Lee0Hyang-Sig Jun1Hee-Mun Park2Jin-Hyun Park3Sang-Kil Lim4Department of Automotive Engineering, Honam University, Gwangju 62399, Republic of KoreaUnmanned Aircraft System Research Division, Korea Aerospace Research Institute, Daejeon 34133, Republic of KoreaDepartment of Computer and Mechatronics Engineering, Gyeongsang National University, Jinju 52828, Republic of KoreaDepartment of Mechatronics Engineering, Gyeongsang National University, Jinju 52828, Republic of KoreaDepartment of Automotive Engineering, Honam University, Gwangju 62399, Republic of KoreaStratospheric drones operating in extreme environments are very important for predicting reliability and are high-efficiency, high-performance, and lightweight power units. Multilevel inverters are suitable for application as power conversion units for stratospheric drones. A guideline is needed to evaluate whether it is suitable for practical application from a reliability perspective among various multilevel topologies. Existing reliability prediction models cannot reflect the operating characteristics of multilevel inverters. In this paper, we analyze the driving characteristics of each topology from the perspective of half-bride, which is the basic configuration of multilevel inverters, and we propose a fault tree analysis (FTA) design with three operating modes. The proposed method has the advantage of being able to easily analyze the failure rate by expanding to single-phase and three-phase and to analyze the failure rate according to changes in modulation index (MI) and power factor (PF). The failure rates of the proposed method and the part count method are analyzed using MIL-HDBK-217F. We also analyze the impact of different various operating characteristics on the failure rate. From a reliability perspective, we provide a variety of guidelines for selecting a multilevel topology that fits the operation conditions.https://www.mdpi.com/2079-9292/12/24/4952diode clamped circuit (DCC)flying capacitor circuit (FCC)t-type neutral point clamped circuit (TNPC)failure ratefault-tree analysis (FTA)stratospheric drones
spellingShingle Jung-Hwan Lee
Hyang-Sig Jun
Hee-Mun Park
Jin-Hyun Park
Sang-Kil Lim
Reliability Analysis of a Multilevel Inverter Applied to Stratospheric Drones Using Fault Tree Analysis
Electronics
diode clamped circuit (DCC)
flying capacitor circuit (FCC)
t-type neutral point clamped circuit (TNPC)
failure rate
fault-tree analysis (FTA)
stratospheric drones
title Reliability Analysis of a Multilevel Inverter Applied to Stratospheric Drones Using Fault Tree Analysis
title_full Reliability Analysis of a Multilevel Inverter Applied to Stratospheric Drones Using Fault Tree Analysis
title_fullStr Reliability Analysis of a Multilevel Inverter Applied to Stratospheric Drones Using Fault Tree Analysis
title_full_unstemmed Reliability Analysis of a Multilevel Inverter Applied to Stratospheric Drones Using Fault Tree Analysis
title_short Reliability Analysis of a Multilevel Inverter Applied to Stratospheric Drones Using Fault Tree Analysis
title_sort reliability analysis of a multilevel inverter applied to stratospheric drones using fault tree analysis
topic diode clamped circuit (DCC)
flying capacitor circuit (FCC)
t-type neutral point clamped circuit (TNPC)
failure rate
fault-tree analysis (FTA)
stratospheric drones
url https://www.mdpi.com/2079-9292/12/24/4952
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AT hyangsigjun reliabilityanalysisofamultilevelinverterappliedtostratosphericdronesusingfaulttreeanalysis
AT heemunpark reliabilityanalysisofamultilevelinverterappliedtostratosphericdronesusingfaulttreeanalysis
AT jinhyunpark reliabilityanalysisofamultilevelinverterappliedtostratosphericdronesusingfaulttreeanalysis
AT sangkillim reliabilityanalysisofamultilevelinverterappliedtostratosphericdronesusingfaulttreeanalysis