一种连续异构传感器网络及其冲击监测方法
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摘要
为了解决大面积传感器网络中大量传感器带来的引线数量多和占用冲击监测系统通道数量多的问题,提出了一种连续异构传感器网络以及基于该网络和特征数字序列的冲击区域定位方法,然后在无人机复合材料机翼盒段上验证了连续异构传感器网络和对应的冲击区域定位方法,结果显示定位正确率超过93%。
This article proposed a continuous heterogeneous sensor network and the corresponding impact region localization method based on the network and characteristic digital sequences to reduce the number of lead wires and occupied monitoring system channels of the large-scale sensor network.Then the continuous heterogeneous sensor network and the corresponding impact region localization method are validated on the composite wing box of an unmanned aerial vehicle(UAV)and the results show that the accuracy rate of impact region localization is higher than 93%.
This article proposed a continuous heterogeneous sensor network and the corresponding impact region localization method based on the network and characteristic digital sequences to reduce the number of lead wires and occupied monitoring system channels of the large-scale sensor network.Then the continuous heterogeneous sensor network and the corresponding impact region localization method are validated on the composite wing box of an unmanned aerial vehicle(UAV)and the results show that the accuracy rate of impact region localization is higher than 93%.
引文
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[10]QIU L,YUAN S,MEI H,et al.Digital sequences and a time reversal-based impact region imaging and localization method[J].Sensors,2013,13(10):13356-13381.
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[12]KIRIKERA G R.An artificial neural system with distributed parallel processing for structural health monitoring[D].University of Cincinnati,2003.
[13]KIRIKERA G R,SHINDE V,SCHULZ M J,et al.Damage localisation in composite and metallic structures using a structural neural system and simulated acoustic emissions[J].Mechanical Systems and Signal Processing,2007,21(1):280-297.
[14]KIRIKERA G R,SHINDE V,SCHULZ M J,et al.A structural neural system for real-time health monitoring of composite materials[J].Structural Health Monitoring,2008,7(1):65-83.
[15]LIU P,YUAN S,QIU L.Development of a PZT-based wireless digital monitor for composite impact monitoring[J].Smart Materials and Structures,2012,21(3):035018.
[16]YUAN S,REN Y,QIU L,et al.A multi-responsebased wireless impact monitoring network for aircraft composite structures[J].IEEE Transactions on Industrial Electronics,2016,63(12):7712-7722.
[2]GIBSON R F.A review of recent research on mechanics of multifunctional composite materials and structures[J].Composite structures,2010,92(12):2793-2810.
[3]YANG F J,CANTWELL W J.Impact damage initiation in composite materials[J].Composites Science and Technology,2010,70(2):336-342.
[4]朱炜垚,许希武.复合材料层合板低速冲击损伤的有限元模拟[J].复合材料学报,2010,27(6):200-207.
[5]SEYDEL R,CHANG F K.Impact identification of stiffened composite panels:Implementation studies[J].Smart Materials and Structures,2001,10(2):370-379.
[6]QIU L,YUAN S.On development of a multichannel PZT array scanning system and its evaluating application on UAV wing box[J].Sensors&Actuators A Physical,2009,151(2):220-230.
[7]IHN J B,CHANG F K.Pitch-catch active sensing methods in structural health monitoring for aircraft structures[J].Structural Health Monitoring,2008,7(1):5-19.
[8]ECCLESTON D,CLARK D,RAFTER T,et al.Development of a real-time active pipeline integrity detection system[J].Smart Materials&Structures,2009,18(11):115010.
[9]QIU L,YUAN S,LIU P,et al.Design of an alldigital impact monitoring system for large-scale composite structures[J].IEEE Transactions on Instrumentation&Measurement,2013,62(7):1990-2002.
[10]QIU L,YUAN S,MEI H,et al.Digital sequences and a time reversal-based impact region imaging and localization method[J].Sensors,2013,13(10):13356-13381.
[11]YUAN S,LIU P,QIU L.A miniaturized composite impact monitor and its evaluation research[J].Sensors&Actuators A Physical,2012,184(3):182-192.
[12]KIRIKERA G R.An artificial neural system with distributed parallel processing for structural health monitoring[D].University of Cincinnati,2003.
[13]KIRIKERA G R,SHINDE V,SCHULZ M J,et al.Damage localisation in composite and metallic structures using a structural neural system and simulated acoustic emissions[J].Mechanical Systems and Signal Processing,2007,21(1):280-297.
[14]KIRIKERA G R,SHINDE V,SCHULZ M J,et al.A structural neural system for real-time health monitoring of composite materials[J].Structural Health Monitoring,2008,7(1):65-83.
[15]LIU P,YUAN S,QIU L.Development of a PZT-based wireless digital monitor for composite impact monitoring[J].Smart Materials and Structures,2012,21(3):035018.
[16]YUAN S,REN Y,QIU L,et al.A multi-responsebased wireless impact monitoring network for aircraft composite structures[J].IEEE Transactions on Industrial Electronics,2016,63(12):7712-7722.