A novel reliability prediction with input transients for an LLC converter
Utility applications demand highly reliable power converters to match market quality needs. The classical reliability prediction methods do not account for the sudden transients involved with the power converter. This work envisages a new reliability prediction procedure for LLC converter which acco...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Frontiers Media S.A.
2022-10-01
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| Series: | Frontiers in Energy Research |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fenrg.2022.912710/full |
| _version_ | 1811199214416297984 |
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| author | Ramesh B. Darla Chitra Annamalai |
| author_facet | Ramesh B. Darla Chitra Annamalai |
| author_sort | Ramesh B. Darla |
| collection | DOAJ |
| description | Utility applications demand highly reliable power converters to match market quality needs. The classical reliability prediction methods do not account for the sudden transients involved with the power converter. This work envisages a new reliability prediction procedure for LLC converter which accounts for the input transients’ impact on the failure rate. Experiments are conducted to collect the actual stress values at input transient and fault conditions, which aids to predict the failure rate with more accuracy. The reliability prediction has been performed using the collected experimental data from the component level to the system level at different mission profiles with transient operating conditions. The impact of various faults and transients on the converter failure rate prediction has been clearly projected from the quantitative analysis presented in this paper. To have a clear picture, the effect of reliability with respect to other stress factors like temperature stress, environmental stress, electrical voltage, current, and power stress on failure rates are also compiled and tabulated. Failure rate and Mean Time Between Failures (MTBF) have been calculated for an LLC converter using the experimental data. The proposed reliability model can be used in the design phase to have an optimal design, planning, and operation of a power electronic converter in the field. This enables to reach out power converters with better reliability profile to cater the industrial needs for real time applications. From the results, it is evident that the reliability prediction is more realistic when the input transients are considered using the experimental data. |
| first_indexed | 2024-04-12T01:44:16Z |
| format | Article |
| id | doaj.art-b203e4d419fb46769354de3fb4d605d4 |
| institution | Directory Open Access Journal |
| issn | 2296-598X |
| language | English |
| last_indexed | 2024-04-12T01:44:16Z |
| publishDate | 2022-10-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Energy Research |
| spelling | doaj.art-b203e4d419fb46769354de3fb4d605d42022-12-22T03:53:07ZengFrontiers Media S.A.Frontiers in Energy Research2296-598X2022-10-011010.3389/fenrg.2022.912710912710A novel reliability prediction with input transients for an LLC converterRamesh B. DarlaChitra AnnamalaiUtility applications demand highly reliable power converters to match market quality needs. The classical reliability prediction methods do not account for the sudden transients involved with the power converter. This work envisages a new reliability prediction procedure for LLC converter which accounts for the input transients’ impact on the failure rate. Experiments are conducted to collect the actual stress values at input transient and fault conditions, which aids to predict the failure rate with more accuracy. The reliability prediction has been performed using the collected experimental data from the component level to the system level at different mission profiles with transient operating conditions. The impact of various faults and transients on the converter failure rate prediction has been clearly projected from the quantitative analysis presented in this paper. To have a clear picture, the effect of reliability with respect to other stress factors like temperature stress, environmental stress, electrical voltage, current, and power stress on failure rates are also compiled and tabulated. Failure rate and Mean Time Between Failures (MTBF) have been calculated for an LLC converter using the experimental data. The proposed reliability model can be used in the design phase to have an optimal design, planning, and operation of a power electronic converter in the field. This enables to reach out power converters with better reliability profile to cater the industrial needs for real time applications. From the results, it is evident that the reliability prediction is more realistic when the input transients are considered using the experimental data.https://www.frontiersin.org/articles/10.3389/fenrg.2022.912710/fulltelecom power supplyinput transientsfailure rate predictionreliability predictionDC-DC convertersLLC converter reliability |
| spellingShingle | Ramesh B. Darla Chitra Annamalai A novel reliability prediction with input transients for an LLC converter Frontiers in Energy Research telecom power supply input transients failure rate prediction reliability prediction DC-DC converters LLC converter reliability |
| title | A novel reliability prediction with input transients for an LLC converter |
| title_full | A novel reliability prediction with input transients for an LLC converter |
| title_fullStr | A novel reliability prediction with input transients for an LLC converter |
| title_full_unstemmed | A novel reliability prediction with input transients for an LLC converter |
| title_short | A novel reliability prediction with input transients for an LLC converter |
| title_sort | novel reliability prediction with input transients for an llc converter |
| topic | telecom power supply input transients failure rate prediction reliability prediction DC-DC converters LLC converter reliability |
| url | https://www.frontiersin.org/articles/10.3389/fenrg.2022.912710/full |
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