Prediction of Aero-Engine Remaining Useful Life Combined with Fault Information
Since the fault information of an aero-engine is very important for the remaining useful life of an aero-engine, the paper proposes to combine the fault information for the remaining useful life prediction of an aero-engine. Firstly, we preprocessed the signals of the dataset. Next, the preprocessed...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2022-10-01
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| Series: | Machines |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2075-1702/10/10/927 |
| _version_ | 1827617414861291520 |
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| author | Chao Wang Zhangming Peng Rong Liu |
| author_facet | Chao Wang Zhangming Peng Rong Liu |
| author_sort | Chao Wang |
| collection | DOAJ |
| description | Since the fault information of an aero-engine is very important for the remaining useful life of an aero-engine, the paper proposes to combine the fault information for the remaining useful life prediction of an aero-engine. Firstly, we preprocessed the signals of the dataset. Next, the preprocessed signals were used to train a CNN (convolutional neural network)-based fault diagnosis model and obtain fault features from the model. Then, we combined BIGRU (bidirectional gated recurrent unit) and the fault features to predict the remaining useful life of the aero-engine. We used the CMAPSS (commercial modular aviation propulsion system simulation) dataset to verify the effectiveness of the proposed method. After that, comparison experiments with different parameters, structures, and models were conducted in the paper. |
| first_indexed | 2024-03-09T09:45:38Z |
| format | Article |
| id | doaj.art-3ff074d9edf749ebb1b0ce6c357d9912 |
| institution | Directory Open Access Journal |
| issn | 2075-1702 |
| language | English |
| last_indexed | 2024-03-09T09:45:38Z |
| publishDate | 2022-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Machines |
| spelling | doaj.art-3ff074d9edf749ebb1b0ce6c357d99122023-12-02T00:35:53ZengMDPI AGMachines2075-17022022-10-01101092710.3390/machines10100927Prediction of Aero-Engine Remaining Useful Life Combined with Fault InformationChao Wang0Zhangming Peng1Rong Liu2School of Mechanical Engineering, Hangzhou Dianzi University, Hangzhou 310018, ChinaSchool of Mechanical Engineering, Hangzhou Dianzi University, Hangzhou 310018, ChinaSchool of Mechanical Engineering, Hangzhou Dianzi University, Hangzhou 310018, ChinaSince the fault information of an aero-engine is very important for the remaining useful life of an aero-engine, the paper proposes to combine the fault information for the remaining useful life prediction of an aero-engine. Firstly, we preprocessed the signals of the dataset. Next, the preprocessed signals were used to train a CNN (convolutional neural network)-based fault diagnosis model and obtain fault features from the model. Then, we combined BIGRU (bidirectional gated recurrent unit) and the fault features to predict the remaining useful life of the aero-engine. We used the CMAPSS (commercial modular aviation propulsion system simulation) dataset to verify the effectiveness of the proposed method. After that, comparison experiments with different parameters, structures, and models were conducted in the paper.https://www.mdpi.com/2075-1702/10/10/927BIGRUengineremaining useful life |
| spellingShingle | Chao Wang Zhangming Peng Rong Liu Prediction of Aero-Engine Remaining Useful Life Combined with Fault Information Machines BIGRU engine remaining useful life |
| title | Prediction of Aero-Engine Remaining Useful Life Combined with Fault Information |
| title_full | Prediction of Aero-Engine Remaining Useful Life Combined with Fault Information |
| title_fullStr | Prediction of Aero-Engine Remaining Useful Life Combined with Fault Information |
| title_full_unstemmed | Prediction of Aero-Engine Remaining Useful Life Combined with Fault Information |
| title_short | Prediction of Aero-Engine Remaining Useful Life Combined with Fault Information |
| title_sort | prediction of aero engine remaining useful life combined with fault information |
| topic | BIGRU engine remaining useful life |
| url | https://www.mdpi.com/2075-1702/10/10/927 |
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