Wind turbine blade health monitoring with piezoceramic-based wireless sensor network
In this paper, a piezoceramic-based wireless sensor network (WSN) was developed for health monitoring of wind turbine blades with active sensing approach. The WSN system has an access point that coordinates the network and connects to a PC to control the wireless nodes. One wireless node functions a...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2013-09-01
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| Series: | International Journal of Smart and Nano Materials |
| Subjects: | |
| Online Access: | http://dx.doi.org/10.1080/19475411.2013.836577 |
| _version_ | 1819275318229204992 |
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| author | Gangbing Song Hui Li Bosko Gajic Wensong Zhou Peng Chen Haichang Gu |
| author_facet | Gangbing Song Hui Li Bosko Gajic Wensong Zhou Peng Chen Haichang Gu |
| author_sort | Gangbing Song |
| collection | DOAJ |
| description | In this paper, a piezoceramic-based wireless sensor network (WSN) was developed for health monitoring of wind turbine blades with active sensing approach. The WSN system has an access point that coordinates the network and connects to a PC to control the wireless nodes. One wireless node functions as an actuator to excite an embedded piezoceramic patch with desired guided waves. The remaining wireless nodes function as sensors to detect and transmit the wave responses at distributed locations. The damage status inside the blade was evaluated through the analysis of the sensor signals. Based on wavelet packet analysis results, a damage index and a damage matrix were developed to evaluate the damage status at different locations. To verify the effectiveness of the proposed approach, a static loading test and a wind tunnel test were performed in the Laboratory of Joint Wind Tunnel and Wave Flume at Harbin Institute of Technology (HIT), China. Experimental results show that damage in wind turbine blades can be detected and evaluated by the proposed approach. |
| first_indexed | 2024-12-23T23:22:25Z |
| format | Article |
| id | doaj.art-90e4c7c9496747aa9916194c6786f841 |
| institution | Directory Open Access Journal |
| issn | 1947-5411 1947-542X |
| language | English |
| last_indexed | 2024-12-23T23:22:25Z |
| publishDate | 2013-09-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | International Journal of Smart and Nano Materials |
| spelling | doaj.art-90e4c7c9496747aa9916194c6786f8412022-12-21T17:26:18ZengTaylor & Francis GroupInternational Journal of Smart and Nano Materials1947-54111947-542X2013-09-014315016610.1080/19475411.2013.836577836577Wind turbine blade health monitoring with piezoceramic-based wireless sensor networkGangbing Song0Hui Li1Bosko Gajic2Wensong Zhou3Peng Chen4Haichang Gu5University of HoustonHarbin Institute of TechnologyUniversity of HoustonHarbin Institute of TechnologyHarbin Institute of TechnologyUniversity of HoustonIn this paper, a piezoceramic-based wireless sensor network (WSN) was developed for health monitoring of wind turbine blades with active sensing approach. The WSN system has an access point that coordinates the network and connects to a PC to control the wireless nodes. One wireless node functions as an actuator to excite an embedded piezoceramic patch with desired guided waves. The remaining wireless nodes function as sensors to detect and transmit the wave responses at distributed locations. The damage status inside the blade was evaluated through the analysis of the sensor signals. Based on wavelet packet analysis results, a damage index and a damage matrix were developed to evaluate the damage status at different locations. To verify the effectiveness of the proposed approach, a static loading test and a wind tunnel test were performed in the Laboratory of Joint Wind Tunnel and Wave Flume at Harbin Institute of Technology (HIT), China. Experimental results show that damage in wind turbine blades can be detected and evaluated by the proposed approach.http://dx.doi.org/10.1080/19475411.2013.836577piezoceramicsactive sensingwireless sensor networkstructural health monitoringwind turbine blade |
| spellingShingle | Gangbing Song Hui Li Bosko Gajic Wensong Zhou Peng Chen Haichang Gu Wind turbine blade health monitoring with piezoceramic-based wireless sensor network International Journal of Smart and Nano Materials piezoceramics active sensing wireless sensor network structural health monitoring wind turbine blade |
| title | Wind turbine blade health monitoring with piezoceramic-based wireless sensor network |
| title_full | Wind turbine blade health monitoring with piezoceramic-based wireless sensor network |
| title_fullStr | Wind turbine blade health monitoring with piezoceramic-based wireless sensor network |
| title_full_unstemmed | Wind turbine blade health monitoring with piezoceramic-based wireless sensor network |
| title_short | Wind turbine blade health monitoring with piezoceramic-based wireless sensor network |
| title_sort | wind turbine blade health monitoring with piezoceramic based wireless sensor network |
| topic | piezoceramics active sensing wireless sensor network structural health monitoring wind turbine blade |
| url | http://dx.doi.org/10.1080/19475411.2013.836577 |
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