Life Prediction Based on D-S ELM for PEMFC
The proton exchange membrane fuel cell (PEMFC) is an extremely clean and efficient power generation device. However, its limited lifespan has restricted the large-scale commercial development of PEMFCs. Life prediction is a promising solution for the further life extension of PEMFCs. In this paper,...
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| Format: | Article |
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MDPI AG
2019-09-01
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| Series: | Energies |
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| Online Access: | https://www.mdpi.com/1996-1073/12/19/3752 |
| _version_ | 1798006155412242432 |
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| author | Xuexia Zhang Zixuan Yu Weirong Chen |
| author_facet | Xuexia Zhang Zixuan Yu Weirong Chen |
| author_sort | Xuexia Zhang |
| collection | DOAJ |
| description | The proton exchange membrane fuel cell (PEMFC) is an extremely clean and efficient power generation device. However, its limited lifespan has restricted the large-scale commercial development of PEMFCs. Life prediction is a promising solution for the further life extension of PEMFCs. In this paper, D-S ELM(DWT-SaDE ELM), define as, an enhanced extreme learning machine (ELM) optimized by discrete wavelet transform (DWT) and self-adaptive differential evolutionary algorithm (SaDE), is proposed to predict the remaining useful life (RUL) of PEMFCs. In D-S ELM, DWT is employed to extract available features from multi-input data with stochastic noise. Then, SaDE explores the optimal parameter configuration for the ELM neural network. Moreover, the influence of training data sizes on the prediction results is discussed. Simulations show that D-S ELM has obvious advantages in prediction accuracy. Furthermore, the superiority of D-S ELM in small sample applicability, prediction speed and robustness make it more suitable for the online prediction of PEMFCs. |
| first_indexed | 2024-04-11T12:50:31Z |
| format | Article |
| id | doaj.art-2fbc884906754fca960dbe3f54a252ce |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-04-11T12:50:31Z |
| publishDate | 2019-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-2fbc884906754fca960dbe3f54a252ce2022-12-22T04:23:13ZengMDPI AGEnergies1996-10732019-09-011219375210.3390/en12193752en12193752Life Prediction Based on D-S ELM for PEMFCXuexia Zhang0Zixuan Yu1Weirong Chen2School of Electrical Engineering, Southwest Jiaotong University, Chengdu 610031, ChinaSchool of Electrical Engineering, Southwest Jiaotong University, Chengdu 610031, ChinaSchool of Electrical Engineering, Southwest Jiaotong University, Chengdu 610031, ChinaThe proton exchange membrane fuel cell (PEMFC) is an extremely clean and efficient power generation device. However, its limited lifespan has restricted the large-scale commercial development of PEMFCs. Life prediction is a promising solution for the further life extension of PEMFCs. In this paper, D-S ELM(DWT-SaDE ELM), define as, an enhanced extreme learning machine (ELM) optimized by discrete wavelet transform (DWT) and self-adaptive differential evolutionary algorithm (SaDE), is proposed to predict the remaining useful life (RUL) of PEMFCs. In D-S ELM, DWT is employed to extract available features from multi-input data with stochastic noise. Then, SaDE explores the optimal parameter configuration for the ELM neural network. Moreover, the influence of training data sizes on the prediction results is discussed. Simulations show that D-S ELM has obvious advantages in prediction accuracy. Furthermore, the superiority of D-S ELM in small sample applicability, prediction speed and robustness make it more suitable for the online prediction of PEMFCs.https://www.mdpi.com/1996-1073/12/19/3752proton exchange membrane fuel cell (pemfc)remaining useful life (rul)extreme learning machine (elm)discrete wavelet transform (dwt)self-adaptive differential evolutionary (sade) |
| spellingShingle | Xuexia Zhang Zixuan Yu Weirong Chen Life Prediction Based on D-S ELM for PEMFC Energies proton exchange membrane fuel cell (pemfc) remaining useful life (rul) extreme learning machine (elm) discrete wavelet transform (dwt) self-adaptive differential evolutionary (sade) |
| title | Life Prediction Based on D-S ELM for PEMFC |
| title_full | Life Prediction Based on D-S ELM for PEMFC |
| title_fullStr | Life Prediction Based on D-S ELM for PEMFC |
| title_full_unstemmed | Life Prediction Based on D-S ELM for PEMFC |
| title_short | Life Prediction Based on D-S ELM for PEMFC |
| title_sort | life prediction based on d s elm for pemfc |
| topic | proton exchange membrane fuel cell (pemfc) remaining useful life (rul) extreme learning machine (elm) discrete wavelet transform (dwt) self-adaptive differential evolutionary (sade) |
| url | https://www.mdpi.com/1996-1073/12/19/3752 |
| work_keys_str_mv | AT xuexiazhang lifepredictionbasedondselmforpemfc AT zixuanyu lifepredictionbasedondselmforpemfc AT weirongchen lifepredictionbasedondselmforpemfc |