Prognostics and Health Management Using Nonlinear Cumulative Damage Model for Electronic Devices Under Variable Loading
This paper explores nonlinear cumulative damage models applied to Prognostics and Health Management in electronic systems, with a focus on solder joint reliability under variable vibrations. Several cumulative damage models, including the total strain energy density model, are investigated to addres...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2024-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10375484/ |
| _version_ | 1797361485895172096 |
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| author | Suyeon Lee Seungil Park Changwoon Han |
| author_facet | Suyeon Lee Seungil Park Changwoon Han |
| author_sort | Suyeon Lee |
| collection | DOAJ |
| description | This paper explores nonlinear cumulative damage models applied to Prognostics and Health Management in electronic systems, with a focus on solder joint reliability under variable vibrations. Several cumulative damage models, including the total strain energy density model, are investigated to address the limitation of Miner’s rule. The State-of-Damage (SoD) concept is introduced as a pivotal metric for evaluating Prognostics and Health Management performance within each model. A novel SoD definition with a scale factor is proposed to balance linearity and exponential behavior, meeting the demands of real-time monitoring. Furthermore, by calculating Remaining Useful Life (RUL) using the SoD metric, the RUL predictions from Miner’s rule and total strain energy density model with the scale factor are compared. The results reveal that the total strain energy density model, enhanced with the scale factor, outperforms Miner’s rule in accurately predicting SoD and RUL. This study advances Prognostics and Health Management methodologies by introducing an innovative SoD concept with a scale factor, resulting in enhanced accuracy for both SoD and RUL predictions. This innovation holds the potential for more reliable electronic systems under variable loading conditions. |
| first_indexed | 2024-03-08T15:54:22Z |
| format | Article |
| id | doaj.art-1f40109eaf10405588ce601a24776a30 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-03-08T15:54:22Z |
| publishDate | 2024-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-1f40109eaf10405588ce601a24776a302024-01-09T00:03:56ZengIEEEIEEE Access2169-35362024-01-01123356337110.1109/ACCESS.2023.334778010375484Prognostics and Health Management Using Nonlinear Cumulative Damage Model for Electronic Devices Under Variable LoadingSuyeon Lee0https://orcid.org/0009-0008-1735-0089Seungil Park1Changwoon Han2https://orcid.org/0000-0002-9300-3328Department of Mechanical Engineering, The State University of New York, Korea, Incheon, Republic of KoreaDepartment of Mechanical Engineering, The State University of New York, Korea, Incheon, Republic of KoreaDepartment of Mechanical Engineering, The State University of New York, Korea, Incheon, Republic of KoreaThis paper explores nonlinear cumulative damage models applied to Prognostics and Health Management in electronic systems, with a focus on solder joint reliability under variable vibrations. Several cumulative damage models, including the total strain energy density model, are investigated to address the limitation of Miner’s rule. The State-of-Damage (SoD) concept is introduced as a pivotal metric for evaluating Prognostics and Health Management performance within each model. A novel SoD definition with a scale factor is proposed to balance linearity and exponential behavior, meeting the demands of real-time monitoring. Furthermore, by calculating Remaining Useful Life (RUL) using the SoD metric, the RUL predictions from Miner’s rule and total strain energy density model with the scale factor are compared. The results reveal that the total strain energy density model, enhanced with the scale factor, outperforms Miner’s rule in accurately predicting SoD and RUL. This study advances Prognostics and Health Management methodologies by introducing an innovative SoD concept with a scale factor, resulting in enhanced accuracy for both SoD and RUL predictions. This innovation holds the potential for more reliable electronic systems under variable loading conditions.https://ieeexplore.ieee.org/document/10375484/Cumulative damage modelprognostics and health managementremaining useful lifestate-of-damagetotal strain energy density model |
| spellingShingle | Suyeon Lee Seungil Park Changwoon Han Prognostics and Health Management Using Nonlinear Cumulative Damage Model for Electronic Devices Under Variable Loading IEEE Access Cumulative damage model prognostics and health management remaining useful life state-of-damage total strain energy density model |
| title | Prognostics and Health Management Using Nonlinear Cumulative Damage Model for Electronic Devices Under Variable Loading |
| title_full | Prognostics and Health Management Using Nonlinear Cumulative Damage Model for Electronic Devices Under Variable Loading |
| title_fullStr | Prognostics and Health Management Using Nonlinear Cumulative Damage Model for Electronic Devices Under Variable Loading |
| title_full_unstemmed | Prognostics and Health Management Using Nonlinear Cumulative Damage Model for Electronic Devices Under Variable Loading |
| title_short | Prognostics and Health Management Using Nonlinear Cumulative Damage Model for Electronic Devices Under Variable Loading |
| title_sort | prognostics and health management using nonlinear cumulative damage model for electronic devices under variable loading |
| topic | Cumulative damage model prognostics and health management remaining useful life state-of-damage total strain energy density model |
| url | https://ieeexplore.ieee.org/document/10375484/ |
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