WSNs-Based Mechanical Equipment State Monitoring and Fault Diagnosis in China
Wireless sensor networks (WSNs) have been used in the state monitoring and fault diagnosis (SMFD) of mechanical equipment as a new signal collection and transmission technology, which have attracted a lot of attention recently. By applying the WSNs to the SMFD, many problems existing in conventional...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2015-11-01
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| Series: | International Journal of Distributed Sensor Networks |
| Online Access: | https://doi.org/10.1155/2015/528464 |
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| _version_ | 1849686333895737344 |
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| author | Jianfeng Huang Guohua Chen Lei Shu Qinghua Zhang Xiaoling Wu |
| author_facet | Jianfeng Huang Guohua Chen Lei Shu Qinghua Zhang Xiaoling Wu |
| author_sort | Jianfeng Huang |
| collection | DOAJ |
| description | Wireless sensor networks (WSNs) have been used in the state monitoring and fault diagnosis (SMFD) of mechanical equipment as a new signal collection and transmission technology, which have attracted a lot of attention recently. By applying the WSNs to the SMFD, many problems existing in conventional wired monitoring are solved. This paper attempts to summarize and review the recent researches and developments of the SMFD in mechanical equipment based on WSNs, providing comprehensive references for researchers concerned about this topic and helping them identify further research topics. Firstly, constraints in the conventional wired monitoring and the superiority of using WSNs in fault detection and diagnosis of mechanical equipment are illustrated. The development process of the SMFD in mechanical equipment is briefly introduced. Then, the recent WSNs applications to the SMFD of mechanical equipment in China are reviewed and summarized in terms of the classifications, such as monitored parameters, monitored objects, and data fusion methods. Finally, the potential future research directions are identified. WSNs are the effective technology to overcome the current bottleneck of the application in the SMFD of mechanical equipment. |
| format | Article |
| id | doaj-art-b7bcb6e48e844e8494ca8c8f1ff636a3 |
| institution | DOAJ |
| issn | 1550-1477 |
| language | English |
| publishDate | 2015-11-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Distributed Sensor Networks |
| spelling | doaj-art-b7bcb6e48e844e8494ca8c8f1ff636a32025-08-20T03:22:45ZengWileyInternational Journal of Distributed Sensor Networks1550-14772015-11-011110.1155/2015/528464528464WSNs-Based Mechanical Equipment State Monitoring and Fault Diagnosis in ChinaJianfeng Huang0Guohua Chen1Lei Shu2Qinghua Zhang3Xiaoling Wu4 Guangdong Petrochemical Equipment Fault Diagnosis Key Laboratory, Guangdong University of Petrochemical Technology, Maoming 525000, China Institute of Safety Science & Engineering, South China University of Technology, Guangzhou 510641, China Guangdong Petrochemical Equipment Fault Diagnosis Key Laboratory, Guangdong University of Petrochemical Technology, Maoming 525000, China Guangdong Petrochemical Equipment Fault Diagnosis Key Laboratory, Guangdong University of Petrochemical Technology, Maoming 525000, China Guangzhou Institute of Advanced Technology, Chinese Academy of Sciences, Guangzhou 511458, ChinaWireless sensor networks (WSNs) have been used in the state monitoring and fault diagnosis (SMFD) of mechanical equipment as a new signal collection and transmission technology, which have attracted a lot of attention recently. By applying the WSNs to the SMFD, many problems existing in conventional wired monitoring are solved. This paper attempts to summarize and review the recent researches and developments of the SMFD in mechanical equipment based on WSNs, providing comprehensive references for researchers concerned about this topic and helping them identify further research topics. Firstly, constraints in the conventional wired monitoring and the superiority of using WSNs in fault detection and diagnosis of mechanical equipment are illustrated. The development process of the SMFD in mechanical equipment is briefly introduced. Then, the recent WSNs applications to the SMFD of mechanical equipment in China are reviewed and summarized in terms of the classifications, such as monitored parameters, monitored objects, and data fusion methods. Finally, the potential future research directions are identified. WSNs are the effective technology to overcome the current bottleneck of the application in the SMFD of mechanical equipment.https://doi.org/10.1155/2015/528464 |
| spellingShingle | Jianfeng Huang Guohua Chen Lei Shu Qinghua Zhang Xiaoling Wu WSNs-Based Mechanical Equipment State Monitoring and Fault Diagnosis in China International Journal of Distributed Sensor Networks |
| title | WSNs-Based Mechanical Equipment State Monitoring and Fault Diagnosis in China |
| title_full | WSNs-Based Mechanical Equipment State Monitoring and Fault Diagnosis in China |
| title_fullStr | WSNs-Based Mechanical Equipment State Monitoring and Fault Diagnosis in China |
| title_full_unstemmed | WSNs-Based Mechanical Equipment State Monitoring and Fault Diagnosis in China |
| title_short | WSNs-Based Mechanical Equipment State Monitoring and Fault Diagnosis in China |
| title_sort | wsns based mechanical equipment state monitoring and fault diagnosis in china |
| url | https://doi.org/10.1155/2015/528464 |
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