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- W2373162022 abstract "Due to the limitation of passive monitoring technology,an active damage monitoring system is set up.In this system,the characteristics of monitoring signals are extracted by the method of power spectrum density maximum(PSM),and least square support vector machine(LS-SVM) is proposed to detect damages.LS-SVM is applied to detect the damage locations for the piezoelectric smart composite laminated plates,and compared with the improved BP neural network.The results show that LS-SVM possesses the advantages such as the higher accuracy,better dissemination ability etc.under the same performance index as BP.The active monitoring technology combined with LS-SVM provides a new approach to carry out on-line,real-time,and accurate monitoring for structural damages." @default.
- W2373162022 created "2016-06-24" @default.
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- W2373162022 date "2007-01-01" @default.
- W2373162022 modified "2023-09-28" @default.
- W2373162022 title "Active Damage Monitoring for Piezoelectric Smart Structures Based on LS-SVM Technology" @default.
- W2373162022 hasPublicationYear "2007" @default.
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