Intelligent Fault-Diagnosis System for Acoustic Logging Tool Based on Multi-Technology Fusion
To improve the performance of acoustic logging tool in detecting three-dimensional formation, larger and more complicated transducer arrays have been used, which will greatly increase the difficulty of fault diagnosis during tool assembly and maintenance. As a result, traditional passive diagnostic...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2019-07-01
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| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/19/15/3273 |
| _version_ | 1811184591294169088 |
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| author | Xiaolong Hao Xiaodong Ju Junqiang Lu Baiyong Men Jing Zhou |
| author_facet | Xiaolong Hao Xiaodong Ju Junqiang Lu Baiyong Men Jing Zhou |
| author_sort | Xiaolong Hao |
| collection | DOAJ |
| description | To improve the performance of acoustic logging tool in detecting three-dimensional formation, larger and more complicated transducer arrays have been used, which will greatly increase the difficulty of fault diagnosis during tool assembly and maintenance. As a result, traditional passive diagnostic methods become inefficient, and very skilled assemblers and maintainers are required. In this study, fault-diagnosis requirement for the acoustic logging tool at different levels has been analyzed from the perspective of the tool designer. An intelligent fault-diagnosis system consisting of a master-slave hardware architecture and a systemic diagnosis strategy was developed. The hardware system is based on the embedded technology, while the diagnosis strategy is built upon fault-tree analysis and data-driven methods. Diagnostic practice shows that this intelligent system can achieve four levels of fault diagnosis for the acoustic logging tool: System, subsystem, circuit board, and component. This study provided a more rigorous and professional fault diagnosis during tool assembly and maintenance. It is expected that this proposed method would be of great help in achieving cost reduction and improving work efficiency. |
| first_indexed | 2024-04-11T13:14:55Z |
| format | Article |
| id | doaj.art-81384aff80814c43a25fe9fa9135c577 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-04-11T13:14:55Z |
| publishDate | 2019-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-81384aff80814c43a25fe9fa9135c5772022-12-22T04:22:25ZengMDPI AGSensors1424-82202019-07-011915327310.3390/s19153273s19153273Intelligent Fault-Diagnosis System for Acoustic Logging Tool Based on Multi-Technology FusionXiaolong Hao0Xiaodong Ju1Junqiang Lu2Baiyong Men3Jing Zhou4Downhole Measurement & Control Research Department, National Engineering Laboratory of Petroleum Drilling Technology, Xi’an Shiyou University, Xi’an 710065, ChinaState Key Laboratory of Petroleum Resources and Prospecting, China University of Petroleum, Beijing 102249, ChinaState Key Laboratory of Petroleum Resources and Prospecting, China University of Petroleum, Beijing 102249, ChinaState Key Laboratory of Petroleum Resources and Prospecting, China University of Petroleum, Beijing 102249, ChinaDownhole Measurement & Control Research Department, National Engineering Laboratory of Petroleum Drilling Technology, Xi’an Shiyou University, Xi’an 710065, ChinaTo improve the performance of acoustic logging tool in detecting three-dimensional formation, larger and more complicated transducer arrays have been used, which will greatly increase the difficulty of fault diagnosis during tool assembly and maintenance. As a result, traditional passive diagnostic methods become inefficient, and very skilled assemblers and maintainers are required. In this study, fault-diagnosis requirement for the acoustic logging tool at different levels has been analyzed from the perspective of the tool designer. An intelligent fault-diagnosis system consisting of a master-slave hardware architecture and a systemic diagnosis strategy was developed. The hardware system is based on the embedded technology, while the diagnosis strategy is built upon fault-tree analysis and data-driven methods. Diagnostic practice shows that this intelligent system can achieve four levels of fault diagnosis for the acoustic logging tool: System, subsystem, circuit board, and component. This study provided a more rigorous and professional fault diagnosis during tool assembly and maintenance. It is expected that this proposed method would be of great help in achieving cost reduction and improving work efficiency.https://www.mdpi.com/1424-8220/19/15/3273fault diagnosisembedded technologyacoustic loggingtransducer arraydata-driven techniquefault tree analysis |
| spellingShingle | Xiaolong Hao Xiaodong Ju Junqiang Lu Baiyong Men Jing Zhou Intelligent Fault-Diagnosis System for Acoustic Logging Tool Based on Multi-Technology Fusion Sensors fault diagnosis embedded technology acoustic logging transducer array data-driven technique fault tree analysis |
| title | Intelligent Fault-Diagnosis System for Acoustic Logging Tool Based on Multi-Technology Fusion |
| title_full | Intelligent Fault-Diagnosis System for Acoustic Logging Tool Based on Multi-Technology Fusion |
| title_fullStr | Intelligent Fault-Diagnosis System for Acoustic Logging Tool Based on Multi-Technology Fusion |
| title_full_unstemmed | Intelligent Fault-Diagnosis System for Acoustic Logging Tool Based on Multi-Technology Fusion |
| title_short | Intelligent Fault-Diagnosis System for Acoustic Logging Tool Based on Multi-Technology Fusion |
| title_sort | intelligent fault diagnosis system for acoustic logging tool based on multi technology fusion |
| topic | fault diagnosis embedded technology acoustic logging transducer array data-driven technique fault tree analysis |
| url | https://www.mdpi.com/1424-8220/19/15/3273 |
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