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- W2379658536 abstract "Robust fault detection based on support vector machine(SVM) is proposed to solve high fault alarms rate due to the presence of unknown perturbation,noisy and other factors.SVM is used to identify the uncertain term mentioned above,and the result,as the compensation,is added to the state observer,which can reduce the influence of environment,disturbances and/or uncertain dynamics on system residual,and the residual is only related to fault in ideal condition.As far as fault identification,incremental support vector machine based on active set method is examined in detail to deal with sequentially arriving data and more data are considered in identification model.The simulate experiment shows that applying support vector machine to fault detection and identification improves the robustness of detection and accuracy of identification to a certain extent." @default.
- W2379658536 created "2016-06-24" @default.
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- W2379658536 date "2007-01-01" @default.
- W2379658536 modified "2023-09-28" @default.
- W2379658536 title "On Robust Fault Diagnosis Based on SVM" @default.
- W2379658536 hasPublicationYear "2007" @default.
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