An Enhanced Tracking Algorithm for Distributed Encoding Fiber Bragg Grating Sensor Network
Fiber Bragg Grating (FBG) sensor network has attracted more attention in online condition monitoring for the large mechanical equipment. By the efforts of the encoding scheme for sensor nodes, the capacity for the distributed FBG sensor network can be significantly improved. However, due to the incr...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Wiley
2014-03-01
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| Series: | International Journal of Distributed Sensor Networks |
| Online Access: | https://doi.org/10.1155/2014/823029 |
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| _version_ | 1849406827973836800 |
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| author | Fan Zhang Zude Zhou Wenjun Xu |
| author_facet | Fan Zhang Zude Zhou Wenjun Xu |
| author_sort | Fan Zhang |
| collection | DOAJ |
| description | Fiber Bragg Grating (FBG) sensor network has attracted more attention in online condition monitoring for the large mechanical equipment. By the efforts of the encoding scheme for sensor nodes, the capacity for the distributed FBG sensor network can be significantly improved. However, due to the increasing number of sensor nodes, the precision of tracking and locating for the FBG sensors has become a bottleneck that should be conquered. In order to realize more accurate and comprehensive condition monitoring for the large mechanical equipment, an enhanced tracking algorithm for distributed encoding FBG sensor network is presented. The novel tracking algorithm uses three classes of progressive intelligent processing approaches, including the improved cycle matching method, the secondary filter intelligent disposal method, and the assistant decision processes method, to conquer the limitations of the traditional tracking algorithm in which the chaos and error results would be caused as the sensor information variations are overlapped. A set of experiments has been conducted and the results demonstrate that the proposed tracking algorithm performs better than the traditional algorithm in location accuracy for the distributed encoding FBG sensor network and can effectively operate in various working conditions of the large mechanical equipment. |
| format | Article |
| id | doaj-art-506c19ab229949cfa51e298c62cfb60e |
| institution | Kabale University |
| issn | 1550-1477 |
| language | English |
| publishDate | 2014-03-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Distributed Sensor Networks |
| spelling | doaj-art-506c19ab229949cfa51e298c62cfb60e2025-08-20T03:36:15ZengWileyInternational Journal of Distributed Sensor Networks1550-14772014-03-011010.1155/2014/823029823029An Enhanced Tracking Algorithm for Distributed Encoding Fiber Bragg Grating Sensor NetworkFan Zhang0Zude Zhou1Wenjun Xu2 Key Laboratory of Fiber Optic Sensing Technology and Information Processing, Ministry of Education, Wuhan University of Technology, Wuhan 430070, China Key Laboratory of Fiber Optic Sensing Technology and Information Processing, Ministry of Education, Wuhan University of Technology, Wuhan 430070, China Key Laboratory of Fiber Optic Sensing Technology and Information Processing, Ministry of Education, Wuhan University of Technology, Wuhan 430070, ChinaFiber Bragg Grating (FBG) sensor network has attracted more attention in online condition monitoring for the large mechanical equipment. By the efforts of the encoding scheme for sensor nodes, the capacity for the distributed FBG sensor network can be significantly improved. However, due to the increasing number of sensor nodes, the precision of tracking and locating for the FBG sensors has become a bottleneck that should be conquered. In order to realize more accurate and comprehensive condition monitoring for the large mechanical equipment, an enhanced tracking algorithm for distributed encoding FBG sensor network is presented. The novel tracking algorithm uses three classes of progressive intelligent processing approaches, including the improved cycle matching method, the secondary filter intelligent disposal method, and the assistant decision processes method, to conquer the limitations of the traditional tracking algorithm in which the chaos and error results would be caused as the sensor information variations are overlapped. A set of experiments has been conducted and the results demonstrate that the proposed tracking algorithm performs better than the traditional algorithm in location accuracy for the distributed encoding FBG sensor network and can effectively operate in various working conditions of the large mechanical equipment.https://doi.org/10.1155/2014/823029 |
| spellingShingle | Fan Zhang Zude Zhou Wenjun Xu An Enhanced Tracking Algorithm for Distributed Encoding Fiber Bragg Grating Sensor Network International Journal of Distributed Sensor Networks |
| title | An Enhanced Tracking Algorithm for Distributed Encoding Fiber Bragg Grating Sensor Network |
| title_full | An Enhanced Tracking Algorithm for Distributed Encoding Fiber Bragg Grating Sensor Network |
| title_fullStr | An Enhanced Tracking Algorithm for Distributed Encoding Fiber Bragg Grating Sensor Network |
| title_full_unstemmed | An Enhanced Tracking Algorithm for Distributed Encoding Fiber Bragg Grating Sensor Network |
| title_short | An Enhanced Tracking Algorithm for Distributed Encoding Fiber Bragg Grating Sensor Network |
| title_sort | enhanced tracking algorithm for distributed encoding fiber bragg grating sensor network |
| url | https://doi.org/10.1155/2014/823029 |
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