SVR model reconstruction for the reliability of FBG sensor network based on the CFRP impact monitoring

Zhang, Xiaoli; Liang, Dakai; Zeng, Jie; Lu, Jiyun

doi:10.12989/sss.2014.14.2.145

Cited by 5 publications

(1 citation statement)

References 18 publications

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“…Then, they are transmitted to the corresponding intelligent evaluation agent, and the mechanical structural damage is evaluated by the evaluation model. In each intelligent evaluation agent, the support vector regression machine (SVRM) algorithm is adopted to evaluate the structural damage; the evaluation algorithm can refer to previous research [24,25]. This way, the evaluation results and the weight about the health status of the monitored mechanical structure in each intelligent evaluation agent are transmitted to the system collaborative decision-making agent, and the optimal evaluation results are selected to participate in the collaboration.…”

Section: Experimental Systemmentioning

confidence: 99%

Delphi Collaboration Strategy for Multiagent Optical Fiber Intelligent Health Monitoring System

et al. 2022

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Optical fiber sensors are very attractive in mechanical structure intelligent health monitoring system due to some unique characteristics, such as immunity to electromagnetic interference and to aggressive environments, high sensitive and fast response, small physical dimension, excellent resolution and range, and so on. For improving the accuracy and reliability of the optical fiber intelligent health monitoring system in practical engineering application, the collaboration and decision-making strategy based on Delphi method for multiagent optical fiber intelligent health monitoring system is studied in this paper. The proposed system is mainly composed of optical fiber sensing agent, intelligent evaluation agent, and system collaborative decision-making agent. The intelligent evaluation agent is used to evaluate the health status of the monitored mechanical structures. Delphi method is used by the system collaborative decision-making agent to consult each intelligent evaluation agent. Meanwhile, the collaborative partner selection algorithm is used to select the intelligent evaluation agent participating in the collaboration, and the intelligent evaluation agent that does not participate in the decision-making is dynamically modified by the decision result. The experiment for an aircraft wing box as the typical engineering structure is carried out and the verification system is designed, the decision result is compared with that without dynamic correction of the evaluation result. The comparative results indicate that the evaluation accuracy and reliability of the monitored mechanical structural damage are improved significantly after multiple rounds of collaboration and decision making.

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Section: Experimental Systemmentioning

confidence: 99%