Fault Knowledge Graph Construction and Platform Development for Aircraft PHM
To tackle the problems of over-reliance on traditional experience, poor troubleshooting robustness, and slow response by maintenance personnel to changes in faults in the current aircraft health management field, this paper proposes the use of a knowledge graph. The knowledge graph represents troubl...
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2023-12-01
|
| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/24/1/231 |
| _version_ | 1797358129965432832 |
|---|---|
| author | Xiangzhen Meng Bo Jing Shenglong Wang Jinxin Pan Yifeng Huang Xiaoxuan Jiao |
| author_facet | Xiangzhen Meng Bo Jing Shenglong Wang Jinxin Pan Yifeng Huang Xiaoxuan Jiao |
| author_sort | Xiangzhen Meng |
| collection | DOAJ |
| description | To tackle the problems of over-reliance on traditional experience, poor troubleshooting robustness, and slow response by maintenance personnel to changes in faults in the current aircraft health management field, this paper proposes the use of a knowledge graph. The knowledge graph represents troubleshooting in a new way. The aim of the knowledge graph is to improve the correlation between fault data by representing experience. The data source for this study consists of the flight control system manual and typical fault cases of a specific aircraft type. A knowledge graph construction approach is proposed to construct a fault knowledge graph for aircraft health management. Firstly, the data are classified using the ERNIE model-based method. Then, a joint entity relationship extraction model based on ERNIE-BiLSTM-CRF-TreeBiLSTM is introduced to improve entity relationship extraction accuracy and reduce the semantic complexity of the text from a linguistic perspective. Additionally, a knowledge graph platform for aircraft health management is developed. The platform includes modules for text classification, knowledge extraction, knowledge auditing, a Q&A system, and graph visualization. These modules improve the management of aircraft health data and provide a foundation for rapid knowledge graph construction and knowledge graph-based fault diagnosis. |
| first_indexed | 2024-03-08T14:57:24Z |
| format | Article |
| id | doaj.art-6d22abd6d03c4f4b96dcd754425b6e52 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-08T14:57:24Z |
| publishDate | 2023-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-6d22abd6d03c4f4b96dcd754425b6e522024-01-10T15:09:08ZengMDPI AGSensors1424-82202023-12-0124123110.3390/s24010231Fault Knowledge Graph Construction and Platform Development for Aircraft PHMXiangzhen Meng0Bo Jing1Shenglong Wang2Jinxin Pan3Yifeng Huang4Xiaoxuan Jiao5Aviation Engineering School, Air Force Engineering University, Xi’an 710038, ChinaAviation Engineering School, Air Force Engineering University, Xi’an 710038, ChinaAviation Engineering School, Air Force Engineering University, Xi’an 710038, ChinaAviation Engineering School, Air Force Engineering University, Xi’an 710038, ChinaAviation Engineering School, Air Force Engineering University, Xi’an 710038, ChinaAviation Engineering School, Air Force Engineering University, Xi’an 710038, ChinaTo tackle the problems of over-reliance on traditional experience, poor troubleshooting robustness, and slow response by maintenance personnel to changes in faults in the current aircraft health management field, this paper proposes the use of a knowledge graph. The knowledge graph represents troubleshooting in a new way. The aim of the knowledge graph is to improve the correlation between fault data by representing experience. The data source for this study consists of the flight control system manual and typical fault cases of a specific aircraft type. A knowledge graph construction approach is proposed to construct a fault knowledge graph for aircraft health management. Firstly, the data are classified using the ERNIE model-based method. Then, a joint entity relationship extraction model based on ERNIE-BiLSTM-CRF-TreeBiLSTM is introduced to improve entity relationship extraction accuracy and reduce the semantic complexity of the text from a linguistic perspective. Additionally, a knowledge graph platform for aircraft health management is developed. The platform includes modules for text classification, knowledge extraction, knowledge auditing, a Q&A system, and graph visualization. These modules improve the management of aircraft health data and provide a foundation for rapid knowledge graph construction and knowledge graph-based fault diagnosis.https://www.mdpi.com/1424-8220/24/1/231PHMknowledge graphjoint extraction of entity relationshipsQ&A system |
| spellingShingle | Xiangzhen Meng Bo Jing Shenglong Wang Jinxin Pan Yifeng Huang Xiaoxuan Jiao Fault Knowledge Graph Construction and Platform Development for Aircraft PHM Sensors PHM knowledge graph joint extraction of entity relationships Q&A system |
| title | Fault Knowledge Graph Construction and Platform Development for Aircraft PHM |
| title_full | Fault Knowledge Graph Construction and Platform Development for Aircraft PHM |
| title_fullStr | Fault Knowledge Graph Construction and Platform Development for Aircraft PHM |
| title_full_unstemmed | Fault Knowledge Graph Construction and Platform Development for Aircraft PHM |
| title_short | Fault Knowledge Graph Construction and Platform Development for Aircraft PHM |
| title_sort | fault knowledge graph construction and platform development for aircraft phm |
| topic | PHM knowledge graph joint extraction of entity relationships Q&A system |
| url | https://www.mdpi.com/1424-8220/24/1/231 |
| work_keys_str_mv | AT xiangzhenmeng faultknowledgegraphconstructionandplatformdevelopmentforaircraftphm AT bojing faultknowledgegraphconstructionandplatformdevelopmentforaircraftphm AT shenglongwang faultknowledgegraphconstructionandplatformdevelopmentforaircraftphm AT jinxinpan faultknowledgegraphconstructionandplatformdevelopmentforaircraftphm AT yifenghuang faultknowledgegraphconstructionandplatformdevelopmentforaircraftphm AT xiaoxuanjiao faultknowledgegraphconstructionandplatformdevelopmentforaircraftphm |