Research and Development of Fault Diagnosis Methods for Liquid Rocket Engines
Currently, considerable efforts are being focused on the development of reusable rockets and smart rockets due to the heavy requirements of future next-generation aerospace transportation. Safety, low-launching cost, and repeatability are expected from liquid rocket for fulfilling the big dreams of...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-08-01
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| Series: | Aerospace |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2226-4310/9/9/481 |
| _version_ | 1797492410540883968 |
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| author | Tao Wang Lin Ding Huahuang Yu |
| author_facet | Tao Wang Lin Ding Huahuang Yu |
| author_sort | Tao Wang |
| collection | DOAJ |
| description | Currently, considerable efforts are being focused on the development of reusable rockets and smart rockets due to the heavy requirements of future next-generation aerospace transportation. Safety, low-launching cost, and repeatability are expected from liquid rocket for fulfilling the big dreams of space transportation, exploration, and travelling. Therefore, research on fault detection of the liquid rocket engines (LRE) is critical for satisfying the above claims. Therefore, a comprehensive survey on the research and development of fault diagnosis systems and methods for the liquid rocket engines is presented. First, development history of liquid rocket engine diagnostic systems is reviewed thoroughly. Then three broad headings of the fault detection approaches of liquid rocket engines are divided through the summary and analysis of the existing methods, including approaches using signal processing, model-driven approach, and approach using artificial intelligence (AI). Then the paper discusses the concrete algorithms according to the classification features of the algorithms. In the end, the future developments of the fault detection approaches are presented, which will mainly pay attention to the reusability and intelligence of the rockets. |
| first_indexed | 2024-03-10T01:03:23Z |
| format | Article |
| id | doaj.art-2f0f7d5a32444e0e989a6caae64a6a81 |
| institution | Directory Open Access Journal |
| issn | 2226-4310 |
| language | English |
| last_indexed | 2024-03-10T01:03:23Z |
| publishDate | 2022-08-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Aerospace |
| spelling | doaj.art-2f0f7d5a32444e0e989a6caae64a6a812023-11-23T14:30:40ZengMDPI AGAerospace2226-43102022-08-019948110.3390/aerospace9090481Research and Development of Fault Diagnosis Methods for Liquid Rocket EnginesTao Wang0Lin Ding1Huahuang Yu2School of Intelligent Systems Engineering, Sun Yat-sen University, Guangzhou 510006, ChinaSchool of Intelligent Systems Engineering, Sun Yat-sen University, Guangzhou 510006, ChinaSchool of Intelligent Systems Engineering, Sun Yat-sen University, Guangzhou 510006, ChinaCurrently, considerable efforts are being focused on the development of reusable rockets and smart rockets due to the heavy requirements of future next-generation aerospace transportation. Safety, low-launching cost, and repeatability are expected from liquid rocket for fulfilling the big dreams of space transportation, exploration, and travelling. Therefore, research on fault detection of the liquid rocket engines (LRE) is critical for satisfying the above claims. Therefore, a comprehensive survey on the research and development of fault diagnosis systems and methods for the liquid rocket engines is presented. First, development history of liquid rocket engine diagnostic systems is reviewed thoroughly. Then three broad headings of the fault detection approaches of liquid rocket engines are divided through the summary and analysis of the existing methods, including approaches using signal processing, model-driven approach, and approach using artificial intelligence (AI). Then the paper discusses the concrete algorithms according to the classification features of the algorithms. In the end, the future developments of the fault detection approaches are presented, which will mainly pay attention to the reusability and intelligence of the rockets.https://www.mdpi.com/2226-4310/9/9/481liquid rocket enginefault diagnosis methodsapproaches using AImodel-driven approachmethods using signal processing |
| spellingShingle | Tao Wang Lin Ding Huahuang Yu Research and Development of Fault Diagnosis Methods for Liquid Rocket Engines Aerospace liquid rocket engine fault diagnosis methods approaches using AI model-driven approach methods using signal processing |
| title | Research and Development of Fault Diagnosis Methods for Liquid Rocket Engines |
| title_full | Research and Development of Fault Diagnosis Methods for Liquid Rocket Engines |
| title_fullStr | Research and Development of Fault Diagnosis Methods for Liquid Rocket Engines |
| title_full_unstemmed | Research and Development of Fault Diagnosis Methods for Liquid Rocket Engines |
| title_short | Research and Development of Fault Diagnosis Methods for Liquid Rocket Engines |
| title_sort | research and development of fault diagnosis methods for liquid rocket engines |
| topic | liquid rocket engine fault diagnosis methods approaches using AI model-driven approach methods using signal processing |
| url | https://www.mdpi.com/2226-4310/9/9/481 |
| work_keys_str_mv | AT taowang researchanddevelopmentoffaultdiagnosismethodsforliquidrocketengines AT linding researchanddevelopmentoffaultdiagnosismethodsforliquidrocketengines AT huahuangyu researchanddevelopmentoffaultdiagnosismethodsforliquidrocketengines |